2016 IEEE International Conference on Signal Processing, Communications and Computing ICSPCC 2016 August 5-8, 2016 City University of Hong Kong, China
Co-sponsor by City University of Hong Kong Northwestern Polytechnical University IEEE Hong Kong Section IEEE Xi’an Section.
ICSPCC 2016 Conference Organizing Committee Conference General Co-Chairs Quan XUE, City University of Hong Kong, Hong Kong Vijay K. BHARGARA, University of British Columbia, Canada Jianguo HUANG, Northwestern Polytechnical University International Advisory Committee P C CHING (HK) Tariq DURRANI (UK) David FENG (Australia) Toshio FUKUda (Japan) B H JUANG (USA) Alex C KOT (Singapore) Mos KAVEH (USA) K.J. Ray LIU (USA) K.M. LUK (HK) ZHI-Quan LUO (USA) Wan-Chi SIU (HK) Lawrence WONG (Singapore) Technical Program Co-Chairs Jiandong LI, Xidian University Jingdong CHEN, Northwestern Polytechnical University Teng Long, Beijing Institute of Technology Bonnie LAW, The Hong Kong Polytechnic University George LAU, Hong Kong Open University Ray CHEUNG, City University of Hong Kong
ICSPCC 2016 Conference Organizing Committee Program Track Chair Bo LI, Northwestern Polytechnical University Peter Tam, IEEE HK Section Youming Li, Ningbo University Chaio Wang, Shanghai University Xiaomei XU, Xiamen University Zhiwen YU, Northwestern Polytechnical University Local Arrangement Chair Ricky LAU, City University of Hong Kong Special Session Chair Liuqing YANG, University of Florida Qunfei ZHANG, Northwestern Polytechnical University Shefeng YAN, CAS Publication Chair Edward CHEUNG, The Hong Kong Polytechnic University Jing HAN, Northwestern Polytechnical University Publicity Chair He XIANG, Northwestern Polytechnical University Registration Chair Y. W. LIU, IEEE Hong Kong Section Finance Co-Chairs Chengbing HE, Northwestern Polytechnical University Y. W. LIU, IEEE Hong Kong Section Secretary Wentao SHI, Northwestern Polytechnical University
WELCOME FROM THE CONFERENCE CO-CHAIRS On behalf of the Conference Organizing Committee, we would like to welcome you taking part in the 2016 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC2016). The conference starts from August 5 to August 9, 2016, in the City University of Hongkong. The goal of ICSPCC2016 is to bring together leading engineers, researchers and academics from the world to discuss novel ideas, theories, technologies and applications in the areas of signal processing, communications and computing. It also aims to provide a stimulating forum for scholars, engineers, and students from all over the world to discuss research achievements. ICSPCC 2016 is co-sponsored City University of Hong Kong, Northwestern Polytechnical University IEEE Hong Kong Section, IEEE Xi’an Section. It is also supported by Xidian University, Xi’an Jiaotong University, Ningbo University, the Chinese University of Hong Kong, The University of Hong Kong, the Hong Kong Polytechnic University. This is the 6th conference of this conference series, after the 1st conference in Xi'an, 2nd conference in Hong Kong, 3rd conference in Kunming, the 4th conference in Guilin and the 5th conference in Ningbo. We believe that with frequent academic exchanges, the collaboration can be strengthened among IEEE members of the Xi’an and Hong Kong Sections and visitors coming from different regions and countries. We are very thankful to all keynote speakers, invited speakers, session chairs, reviewers and authors, for their indispensable contributions to the technical sections of the conference. We hope that you will find the ICSPCC 2016 enjoyable in Hong Kong.
General Co-Chairs: Quan XUE, City University of HK Vijay K. BHARGAVA, University of British Columbia, Canada Jianguo HUANG, Northwestern Polytechnical University, Xian
WELCOME FROM THE TECHNICAL CO-CHAIRS We have prepared a rich technical program that spans numerous topics in the field of Signal Processing, Communications and Computing. The conference will feature prominent plenary speakers as well as technical sessions. The technical program is composed Tutorial on Challenges in Millimeter-wave Communications, two Invited Talks on Underwater signal processing and Communications, regular sessions and visits to the State Key Lab and Multimedia Center of City University . This year, all papers are presented in oral. We will have two distinguished keynote speakers who will present their most recent results and developments in their respective research areas. The conference received a total of 320 paper submission from more than 10 countries. The total number of papers accepted and included in the proceedings is 168. For reviewing of the papers, we relied on the help of the members of the Technical Program Committee as well as other invited experts. All the accepted papers were categorized into 13 sessions. We are honoured to have two renowned keynote speakers in this conference. The keynote speakers’ titles are “Advances in Wireless communications: With Application to Internet of Things” by Prof. Vijay Bhargava, “High-level Architecture for Co-simulation of Power Grids Information Systems and Communication Networks” by Prof. Henry Chung. We also co-organize the the IEEE R10 Distinguish Paper Competition and have the final round Presentation Session where winners will be selected and Certificates will be presented in the Conference Banquet. Finally, we would like to thank all of the members of the Technical Program Committee for their great jobs, and all reviewers outside of the committee. Please enjoy the conference, and enjoy Hongkong. Thanks! Technical Co-Chairs: Bonnie Law, the Hong Kong Polytechnic University Ray Cheung, City University of Hong Kong George LAU, Hong Kong Open University Jiandong Li, Xidian University Jingdong Chen, Northwestern Polytechnical University Teng Long, Beijing Institute of Technology
Schedule at a Glance Friday, August 5, 2016 1300-1800
Registration - Foyer, 2/F, AC2, CityU Tutorial - AC2 2513 Tutorial - “Challenges in Millimeter-wave
1400-1800
Communications-----Secrets of Antennas and Integrated Circuits” by Hang Wong and Wu Liang,
City University of
Hong Kong 1800-2030
Welcome Reception - Foyer, 2/F, AC2, CityU Saturday, August 6, 2016
0830-1830 0930-1000
Registration - Foyer, 2/F, AC2, CityU Opening Ceremony
- LT 2510, 2/F, AC2, CityU
Keynote Speech 1 1000-1045
-
AC2 LT 2510
Keynote Speech 1 - "Advances in Wireless Communications: With Application to Internet of Things" by Vijay Bhargava, University of British Columbia in Vancouver
1045-1115
Coffee/Tea Break - Foyer, 2/F, AC2, CityU Keynote Speech 2
-
AC2 LT 2510
Keynote Speech 2 - "High-level Architecture for 1115-1200
Co-simulation of Power Grids, Information Systems and Communication Networks" by Henry Chung, City University of Hong Kong
1210-1330
Lunch break
Room
AC2 2312
1330-1500
SPG01
1500-1530 1530-1700
AC2 2513 Invited Talk 1 /SPX1
AC2 2306
AC22310
COM01
DPAP
Coffee/Tea Break - Foyer, 2/F, AC2, CityU SPG01
SPX1
COM02
DPAP
Sunday, August 7, 2016 0830-1700
Registration - Foyer, 2/F, AC2, CityU
Room
AC2 2312
0900-1030
SPG02
1030-1100 1100-1230
AC2 2513 Invited Talk2 SPX1
1500-1530 1530-1700
AC22310
COM03
CPT01
Coffee/Tea Break - Foyer, 2/F, AC2, CityU SPG02
SPX1
1230-1330 1330-1500
AC2 2306
COM03
CPT02
Lunch break SPG02
SPX2
COM03
CPT03
Coffee/Tea Break - Foyer, 2/F, AC2, CityU SPG03
SPX2
Conference Banquet
SPX2
CPT03
& R10 Distinguish Student Papers
Competition Award Presentation
1830-2030
Chinese Restaurant, Communal Building, 8/F, CityU Monday, August 8, 2016 0830-1200
Registration - Foyer, 2/F, AC2, CityU
Room
AC2 2312
AC2 2513
0900-1030
SPG03
SPG05
1030-1100 1100-1230
Coffee/Tea Break - Foyer, 2/F, AC2, CityU SPG04
1230-1330
SPG05 Lunch break Visit to CityU State Key
1330-1500
SPG04
SPG01
Laboratory of Millimeter Waves
1500-1530 1530-1700
Coffee/Tea Break - Foyer, 2/F, AC2, CityU SPG04
SPG01
Visit to CityU Multimedia Center
Technical Sessions COM01 Communications Technique & Interest COM02 Signal Processing and Communications COM03 Wireless communications and networks CPT01 General Computing Interest CPT02 Information and data security CPT03 Embedded system design DSPCR10 Distinguish Paper Presentation SPG01 Signal Processing Technique and Interest SPG02 Radar and sonar systems SPG03 Sensor array and multi-channel SPG04 Detection, estimation and classification SPX1- Underwater signal processing and Communications SPX2- Fractional signal Processing
Conference Keynote 1 Advances in Wireless Communications: With Application to Internet of Things By Professor Vijay K. Bhargava, University of British Columbia, Canada Abstract By the year 2022, wireless networks are expected to provide a new paradigm over the existing networks. The requirements include: 10,000 times increase in traffic data, 10-100 times more devices, low latency in the order of 1msec, more uniform coverage providing a minimum of 1Gbps for every user, flexible operation in different radio access technologies, reliable end-to-end performance, low cost and energy efficient design. For this to happen significant advances are needed in signal processing, communications and computing. In this presentation, firstly we present energy-efficient designs for multi-tier heterogeneous networks including cell association, resource allocation and wireless backhaul bandwidth allocation. Then we present an overview of several interconnected research topics such as millimeter wave (mmWave), and massive multiple-input-multiple-output (MIMO) communications, sustainable hybrid cloud based radio access network (C_RAN) architecture with software-defined network (SDN), full duplex radios for improved radio spectrum efficiency and device-to-device communication systems. The talk concludes with an application of these technologies to Internet of Things (IOT) and the challenge presented by a trillion “connected” devices by 2022. Biography Vijay K. Bhargava (S'70, M'74, SM'82, F'92, LF'13) was born in Beawar, India in 1948. He came to Canada in 1966 and obtained BASc, MASc and PhD degrees from Queen’s University at Kingston in 1970, 1972 and 1974 respectively. He is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia in Vancouver, where he served as Department Head during 2003-2008. Previously he was with the University of Victoria (1984-2003), Concordia University (1976-1984), the University of Waterloo (1976) and the Indian Institute of Science (1974-1975). He has held visiting appointments at Ecole Polytechnique de Montréal, NTT Research Lab, Tokyo Institute of Technology, the University of Indonesia, the Hong Kong University of Science and Technology, and Tohoku University. He is an Honourary Professor at UESTC, Chengdu and a Gandhi Distinguished Professor at IIT Bombay. For the academic year 2015-2016, he is on sabbatical leave at the Friedrich Alexander University (FAU), Erlangen, Germany. He is in the Institute for Scientific Information (ISI) Highly Cited list. Vijay served as the Founder and President of "Binary Communications Inc." (1983-2000). He is a co-author (with D. Haccoun, R. Matyas and P. Nuspl) of "Digital Communications by Satellite" (New York: Wiley: 1981) which was
translated in Chinese and Japanese. He is a co-editor (with S. Wicker) of "Reed Solomon Codes and their Applications" (IEEE Press: 1994), a co-editor (with H.V. Poor, V. Tarokh and S. Yoon) of "Communications, Information and Network Security" (Kluwer: 2003) a co-editor (with E. Hossain) of "Cognitive Wireless Communication Networks" (Springer: 2007), a co-editor (with E. Hossain and D.I Kim) of “Cooperative Wireless Communications Networks”, (Cambridge University Press: 2011) and a co-editor (with E. Hossain and G. Fettweis) of “Green Radio Communications Networks” (Cambridge University Press 2012). Vijay is a Fellow of the IEEE, The Royal Society of Canada, The Canadian Academy of Engineering and the Engineering Institute of Canada. He is a Foreign Fellow of the National Academy of Engineering (India) and has served as a Distinguished Visiting Fellow of the Royal Academy of Engineering (U.K.). He has received awards for his teaching, research and service to the IEEE. The latest awards are the Killam Prize in Engineering and the Humboldt Research Prize. Vijay has served on the Board of Governors of the IEEE Information Theory Society and the IEEE Communications Society. He has held important positions in these societies. He has served as an Associate Editor of the IEEE Transactions on Communications. He played a major role in the creation of the IEEE Communications and Networking Conference (WCNC) and IEEE Transactions on Wireless Communications, for which he served as the editor-in-chief (2007-2009). He is a past President of the IEEE Information Theory Society and a Past President of the IEEE Communications Society.
Conference Keynote 2 High-level Architecture for Co-simulation of Power Grids, Information Systems and Communication Networks By Henry Chung, City University of Hong Kong
Biography Professor Henry Shu-hung Chung received the B.Eng. degree and the Ph.D degree in electrical engineering both from The Hong Kong Polytechnic University, Hong Kong, in 1991 and 1994 respectively. Since 1995 he has been with the City University of Hong Kong. He is currently professor of the Department of Electronic Engineering and Director of the Centre for Smart Energy Conversion and Utilization Research, City University of Hong Kong. He is Fellow of Institute of Electrical and Electronics Engineers (IEEE). His research interests include renewable energy conversion technologies, lighting technologies, and smart grid technologies. He is currently Editor-in chief of the IEEE Power Electronics Letters, and Associate Editor of the IEEE Transactions on Power Electronics, IEEE Transactions on Circuits and Systems, Part I: Fundamental Theory and Applications, and IEEE Journal of Emerging and Selected Topics in Power Electronics. He has received numerous industrial awards for his invented energy saving technologies. Abstract In the coming decades, our planet is gradually inclined towards urban living. We shall witness the building and rebuilding of hundreds of new cities, transportation infrastructures, and hundreds of thousands of kilometers of highways and railway tracks to cope with this growing population. It is thus important to recognize the importance of working responsibly to maintain the veracity of the ecosystem. We have to prepare infrastructure and transportation networks for the future. Today’s electrical networks are moving towards smart grids - intelligent infrastructures using computer-based remote monitoring, control, and automation. These innovative systems enable real-time, two-way management of electricity and information. They offer many benefits to enhance energy efficiency on the electricity grid and in the users. This innovative technology also allows for better integration of renewable energies and more efficient electrical transmission across the whole energy grid. The speaker will present a co-simulator that can be used to study various scenarios of smart grids – an integration of power grids, information systems, and communication networks, such as how vehicle-to-grid with different kinds of communication networks can help stabilize the operation of the power grid under a fault condition. The framework of the co-simulator adopts the IEEE 1516 High-Level Architecture.
Tutorial Challenges in Millimeter-wave Communications: Secrets of Antennas and Integrated Circuits by Hang WONG & Liang WU, City University of Hong Kong Abstract Two speakers will give an intensive tutorial on developing of millimeter-wave communication systems. The first part by Dr. Wong will introduce a new antenna technology for high frequency antenna development and realization for recent fast-speed communication systems in millimeter-wave spectrum. The content of this talk includes linearly-polarized and circularly-polarized antenna designs with the help of 3D printing technology to develop low-cost, wideband, and high-gain directional beam antennas. This talk exhibits how to combine the conventional and the newly-developed fabrication technologies into the antenna designs. One of examples, a 3D printed polarizer is placed above a radiating aperture operating at the centre frequency of 60 GHz. The proposed antenna with the polarizer achieves a wide impedance bandwidth of 50% from 45 to 75 GHz for the reflection coefficient -10 dB, and yields an overlapped axial ratio bandwidth of 30% from 49 to 67 GHz for the axial ratio 3 dB. The proposed methodology of this design can apply to applications related to millimeter-wave wireless communication systems. The second part given by Dr. Wu will talk about CMOS millimeter-wave integrated circuits. Considering its critical role in wireless transceivers, the frequency generation will be the focus. At first, the design challenges in achieving all required performance aspects in terms of high oscillation frequency, wide frequency range, good phase noise and low power consumption will be highlighted. Afterwards, the design and analysis of high-frequency VCOs and frequency dividers will be discussed. Both conventional architectures and state-of-the-art advancements will be covered, with particular attention to some novel techniques. In this session, a typical circuit design approach started from intuitive understanding, theoretical analysis, preliminary verification, to prototype implementation will be followed. Biography Hang WONG received the B.Eng., M.Phil., and Ph.D. degrees in electronic engineering from City University of Hong Kong in 1999, 2002 and 2006, respectively. He was an acting assistant professor in the Department of Electrical Engineering, Stanford University, in 2011. He joined the Department of Electronic Engineering as an assistant professor at City University of Hong Kong
in 2012. He had several visiting professorships at University of Waterloo; Canada, University of College London, UK; and University of Limoges, France in the years of 2013, 2014, and 2015 respectively. His research interests include design of broadband antennas, small antennas, millimeter wave antennas, 3D printed antenna and related applications. He was the chair of the IEEE Hong Kong Section of the Antennas and Propagation (AP)/Microwave Theory and Techniques (MTT) Chapter from 2011 to 2014. He is recently appointed as the IEEE APS Region-10 Representative. He is an associate editor of IEEE AWPL, Antennas and Wireless Propagation Letters, since 2012. Dr. Wong received 2011 State Technology Invention Award 國家科學技術發明獎 presented by the Ministry of Science and Technology of the P.R. China with Professors Kwai-Man Luk, Chi-Hou Chan, and Quan Xue for their contributions of wideband patch antenna developments and applications. Liang WU received the B.S. and M.S. degrees in Materials Science from Fudan University, China, in 2004 and 2007 respectively, and the Ph.D. degree in Electronic and Computer Engineering from the Hong Kong University of Science and Technology in 2012. From 2013 to 2015, he was with the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology as a research assistant professor and the deputy director of HKUST-Qualcomm Joint Innovation and Research Lab. Since November 2015, he joined the State Key Laboratory of Millimeter Waves at City University of Hong Kong as a senior research fellow. His current research interests include CMOS RF / millimeter-wave integrated circuits for wireless transceivers, mixed-signal visible light communication system-on-a-chip (SoC).
Special Session Invited Talk 1 August 6, Saturday, 1330-1700, Room AC2 2513 Effects of Uncertain Ocean Environments on Underwater Acoustic Communication Systems Speaker: Xiaomei Xu, College of Ocean and Earth, Xiamen University Biography Xiaomei Xu is now a Professor of Marine Physics, Xiamen University and is the director of the Apartment of Applied Marine Physics and Engineering. She is Committee Member of the Chinese Society of Oceanography (Marine Physics Branch). Dr. Xu has authored and coauthored over 100 journal publications. The courses she teaches include Fundamentals of Acoustics, The principles of underwater sound and Introduction to Marine Technology. She received the B.S. degree in marine physics in 1982, the M.S. degree in Underwater Telemetry and Remote Control in 1988, and the Ph.D. degree in underwater acoustic communication in 2002, all from Xiamen University, China. Since 1982, Dr. Xu has immersed herself in the researches in the fields of marine acoustics, underwater acoustic communication. Dr. Xu also authored two books titled Introduction to Marine Technology and Fundamentals of Acoustics. Abstract Uncertain ocean environmental events such as surface winds, waves, rainfalls and typhoons, etc, cause sea surface roughness and water column variation, that change the coherence of acoustic signals, affect multipath structure (amplitude and arrival time), phase shifts and Doppler spreads, and increase ocean ambient noise, so they can severely influence the performance of underwater acoustic communication systems. How to overcome these environmental uncertainties to achieve more reliable communications is a key research question for current underwater acoustic communications. Next-generation underwater acoustic communications require a better understanding of nature ocean environments and a smarter design of adaptive communication systems. Here, we review some previous studies that explore the link between ocean environmental uncertainties and underwater acoustic communication channels, as well as some potential techniques that can cope with these environmental uncertainties for enhanced underwater acoustic communication systems. Furthermore, we present some preliminary results about the influence of surface winds, as the only environmental uncertainty, on underwater acoustic communications with numerical modeling and laboratory
measurements. We suggest that the uncertainties of ocean environments play a crucial role in the performance of underwater acoustic communications, and should be considered when designing future reliable, adaptive underwater acoustic communications systems.
Special Session Invited Talk 2 August 7, Sunday, 1330-1700, Room AC2 2513 The Accurate Underwater Localization Techniques Underwater Acoustic Sensor Networks Speaker: Dajun Sun, Harbin Engineering University
of
Large-Scale
Biography Dajun Sun received his PhD. degree from Harbin Engineering University in 1999. He is currently with the Underwater Acoustic Engineering College, Harbin Engineering University, in which he was selected as the dean from 2013 to 2016. Prof. Sun's current research interests include underwater localization and navigation, underwater communications and networks, and underwater target tracking and detection. He has published many journal and conference papers on these topics. Prof. Sun is the recipient of "Outstanding Middle-Aged and Young Experts in the National Defense Industry " award and "Heilongjiang Province Youth Wusi Medal". Abstract The Multiple-Input Single-Output Angel of Arrival (MISO-AOA) ranging is the effective localization technique of the underwater acoustic sensor networks. Due to the characteristics of passive localization, MISO-AOA ranging is suitable for the large-scale underwater networks, which can improve the localization accuracy and efficiency. In this lecture, the principle of MISO-AOA ranging is introduced, and the orthogonal wideband signals, such as Costas sequence and Gold sequence, are adopted to estimate the AOA. In the last, the experiment results on the water-pool and lake are also provided to verify the feasibility of the ranging technique.
IEEE Region 10 Distinguished Student Paper Award Competition Final Round Presentation Date: Session:
August 7, Saturday, 1330-1700, Room AC2 2310 DSPCR10 Distinguish Paper Presentation
DSPC-01
Under-Ice Underwater Acoustic Communication Based On Direct Sequence Spread Spectrum System With Parametric Emission
Authors:
Tang Shengyu; Zhu Guangping; Zhang Xiao; Yin Jingwei; Guo Longxiang; Shi Wei;
DSPC-02
Joint Rf/Baseband Grouping-Based Codebook Design For Hybrid Beamforming In Mmwave Mimo Systems
Authors:
Wu, Chien-Sheng; Chen, Chiang-Hen; Tsai, Cheng-Rung; Wu, An-Yeu (Andy);
DSPC-03
Learning Discriminative Cnn Features And Similarity Metrics For Image Retrieval
Authors:
Sun Peixia;
DSPC-04
On The Importance Of Network Architecture In Training Very Deep Neural Networks
Authors:
Chi,Zhizhen;
DSPC-05 Authors:
Lin Huiting; Luo Tao;
Li,Hongyang;
Joint Lmmse And Map Channel Estimation Using Bcrb Training Design For Correlated Two-Way Mimo Relay Systems Chen Huiming; Lam Wong-Hing;
DSPC-06 Authors:
DSPC-07 Authors:
DSPC-08 Authors: DSPC-09 Authors:
Deep Image Retrieval And Classification On Sparknet Li, Hongyang; Su, Peng; Chi, Zhizhen; Wang, Jingjing; Multiple-parameter Discrete Fractional Transform and Its Applications Xuejing Kang Performance Analysis of MIMO Spectrum-Sharing Networks With Pre-Whitened Interfering Signals Under Outdated Channel Information Sikandar Kumar Inner and Inter Label Propagation: Salient Object Detection in the Wild Hongyang Li
DSPC-10
Theoretical Analysis of Differential Microphone Array Beamforming and an Improved Solution
Authors:
Chao Pan
DSPC-11 Authors:
All-optical Relaying FSO Systems Using EDFA Combined with Optical Hard-Limited OVER Atmospheric Turbulence Channels Phuc V. Trinh
DSPC-12
Energy-efficient Cognitive Transmission with Imperfect Spectrum Sensing
Authors:
Lin Zhang
2016 IEEE International Conference on Signal Processing, Communications and Computing ICSPCC 2016 August 5-8, 2016 City University of Hong Kong, China
Technical Session Program
Date:
August 6, Saturday, 1330-1700, Room AC2 2312
Session:
SPG01 Signal Processing Technique and Interest
Session:
SPG01-01, Paper No.2781
Title:
An Image Encryption Algorithm Based on High-dimensional Chaotic Systems Tang Qi; Jiang Junmin; Jiang Junli;
Authors: Abstract:
In the field of image encryption, chaotic system is more and more used in the design of secure communication system because of its characteristics of similar noise and high sensitivity to the initial value.Image encryption methods based on high-dimensional chaotic has become research hotspots, and the development of combination chaos has become development trend of image encryption. The high dimensional chaotic parameters can effectively improve the key space of the encryption method ,but the nonlinear behavior of high dimensional chaos if more difficult to predict than low dimensional chaos.The combination chaos which combined some different chaotic systems is sensitive to the initial value and has anti-analysis capabilities. Combination of some high dimensional chaotic maps in the encryption system can improve which performance significantly. A color image encryption algorithm based on high-dimensional chaotic system has been proposed in this paper, which combined two high-dimensional chaotic systems to form a more complex chaotic system, one-time key stream sequences also used to enhance information entropy of the encrypted image and reduce the correlation between the adjacent pixels, and the key sequence was generated by the Hyperhenon system, and the initial value of Hyperhenon system derived from the Hash values related to the plain image, those ensured the algorithm confidentiality and stability. Theoretical analysis and experimental results from key space analysis encrypted performance of each element, information entropy analysis, and robustness against noise show that the proposed algorithm has a lower adjacent pixels, higher information entropy and anti-noise performance.
Session:
SPG01-02, Paper No.2970
Title:
Complexity Control For Hevc By Visual Saliency Detection
Authors:
Shan Nana;
Zhou Wei; Duan Zhemin; 1
Abstract:
The new quad-tree structure was adopt by High Efficiency Video Coding (HEVC) to partition the Coding Unit (CU). It improved compression efficiency while increased the computational complexity. This paper analysis the percentage of CU depth, the coding time of CU depth and the relationship between the CU depth and the visual saliency. A complexity control algorithm for HEVC with the visual saliency is proposed. Based on their saliency characteristics and the target level, the proposed algorithm decides the maximum coding tree depth for each coding unit. The certain saliency threshold is used to decide whether the coding unit should be split into smaller CUs. By this way, the coding complexity control can be achieved with minimal loss of visual distortion.
Session:
SPG01-03, Paper No.2666
Title:
Variable-Magnitude Filter Design Using Simplified Coefficient-Transformation Deng, Tian-Bo;
Authors: Abstract:
In this paper, we present an improved method for designing a stable recursive variable-filter (VF) by utilizing a generalized transfer function as well as a simplified coefficient-transformation. The coefficient-transformation is introduced for guaranteeing the VF stability. The main advantages of this improved design are two-fold; one is that the utilization of the generalized transfer function makes the VF design more flexible, and the other is that the utilization of the simplified coefficient-transformation reduces extra computational burden needed in the VF optimization process. An example is given to illustrate that the improved method can get higher design accuracy than the existing method while offering the aforementioned two advantages.
Session:
SPG01-04, Paper No.2822
Title:
Detecting Story-Related Subject Captions in Chinese News Videos Using Spatio-Temporal Analysis Wang Xihan; Feng Xiaoyi; Xia Zhaoqiang; Hadid Abdenour;
Authors: Abstract:
Story-related subject captions (SSCs) are the texts which are added to news videos to summarize the story. Compared to all types of caption texts (channel logo, scene locations, scrolling marquee, time, speaker names, audio subtitles, dates etc.), only SSCs describe the news stories and this is useful in news video analysis and retrieval systems. Different from most existing methods in the literature which mainly focus on detecting all types of caption texts
2
in static images, we propose an efficient approach for detecting story-related subject captions using spatio-temporal analysis. We design various types of spatial and temporal features that are intrinsic to SSCs and robust to different variations. Stroke Width Transform (SWT) is first applied to compute connected components. These components are then clustered into chains with similar geometric properties and colors, yielding in candidate text captions. These candidates are finally refined using spatial and temporal analysis. A new challenging data set with ground truth and evaluation protocol is built and will be made publicly available for research purposes. Our experimental analysis shows that our proposed algorithm yields in promising results which compare favorably against traditional approaches in the literature. Session:
SPG01-05, Paper No.2852
Title:
Non-Integer Times Frame Rate Up-Conversion Using Reliable Analysis of Motion Information Qu Aixi; Liu Ju; Xiao Yifan; Wan Wenbo; Wang Qing;
Authors: Abstract:
In this paper, a novel non-integer times frame rate up-conversion (NIFRUC) algorithm using reliable analysis of time-domain motion information is proposed. The proposed method can realize frame rate up-conversion (FRUC) of any fractional multiples based on double FRUC. In addition, in order to eliminate motion jerkiness and motion blurring, the proposed method makes full use of motion information to select the inter-frame where movement is faster as the interpolated position and gets interpolated frames by bilateral motion compensation interpolation. Also, in order to obtain more accuracy interpolated positions, a new scene detection scheme as well as the combination of the inter-frame motion speed and inter-frame correlation degree is applied. Experimental results confirm that the proposed method outperforms previous NIFRUC methods in terms of theory analysis, subjective mean opinion score and objective evaluation.
Session:
SPG01-06, Paper No.2979
Title:
Bounded OS-DL: An Improvement for One-Stage Dictionary Learning Algorithm Wen, Yuanmei; Xu, Genpeng;
Authors: Abstract:
In this paper we propose a novel algorithm, which is an improvement for one-stage dictionary learning (OS-DL) algorithm, by imposing a l^2-norm constraint on the update of the atoms. Our
3
contribution embarks from the OS-DL algorithm and incorporates the well-known convex optimization method, proximal point method, into this algorithm. Experimental results on recovering a known dictionary and sparsely approximating an AR(1) signal demonstrate the promising performance of our proposed algorithm. Session:
SPG01-07, Paper No.2995
Title:
A modified echolocation model for multiple targets estimation using hyperbolic frequency modulation emission Su Mengna; Liang Hong; Liu Huafeng; Yang Changsheng;
Authors: Abstract:
The Bat uses Frequency Modulated (FM) echolocation calls to accurately estimate range and resolve closely spaced as 2 us objects. In this paper, a modified echolocation model for multiple targets in 3-dimensional space using hyperbolic frequency modulation emission is proposed. The method to modify parameters in all blocks using LFM waveform echolocation model is given. The simulation results show that the modified model using HFM emission can estimated multiple closely spaced objects with a high range resolution.
Session:
SPG01-08, Paper No.2712
Title:
The facial expression recognition method of random forest based on improved PCA extracting feature Jia Ju; Xu Yan; Zhang Sida; Xue Xianglong;
Authors: Abstract:
In this paper, we propose a new framework for facial expression classification. This framework utilizes random forest as the classifier based on the features extracted from improved principal component analysis (PCA). Traditional PCA has two drawbacks: it is difficult to estimate the covariance matrix, and it is computational prohibitive to get the eigenvectors. In order to solve the two problems, we adopt an improved PCA to extract the features and uses the random forest algorithm as the classifier. The experiments are conducted based on the JAFFE facial expressions library, and are compared with the support vector machine (SVM) classifier. Theoretical analysis and experimental results show that the facial expression recognition system of random forest based on improved PCA extracting feature, whether in terms of facial expression recognition rate or running speed, has shown significant improvement. Index Terms—improved PCA, feature extraction, RF, SVM, facial expression recognition.
4
Session:
SPG01-09, Paper No.2687
Title:
The Effect of Region Segmentation on Object Categorization
Authors:
Tsai, Chih-Fong;
Abstract:
Date:
A kind of Multi-UAVs cooperative control algorithm under a disaster search and rescue scenario is presented. The states of UAVs are separated as search and relay. In search state, UAVs constantly look for wireless signals from the ground rescue workers by planning path under communication constraints. In relay state, UAVs share information without delay by selecting information route and planning UAVs flight path. Simulation results show that this kind of multi-UAVs cooperative control algorithm could plan path for UAVs efficiently and optimize communication performance of relay network. August 6, Saturday, 1330-1700, Room AC2 2513
Session:
SPX1- Underwater signal processing and Commsunications
Session:
SPX1-01, Paper No.2696
Title:
A Robust Underwater Acoustic Communication Approach for Pipeline Transmission Su, Nan; Liu, Jianyan; Liu, Qiang; Wang, Weijiang;
Authors: Abstract:
Hu, Ya-Han;
Lin, Wei-Chao;
As a special but important scenario, the critical requirement on robust and effective wireless acoustic communication through the pipeline is increased in the applications such as oil explo- ration and geological exploration. However, due to the complexity of the pipeline environment including strict band limitation, multi reflection and refraction from state-mixed transmission media of liquid, gas and solid, such a multipath channel is so sophisticated that relevant practical research is still a blank. In this article, after several field experiments, the characteristic of underwater pipeline channels is deeply tested and presented. Then a group of robust approaches mainly based on chirp signals for underwater communication through the pipeline is systematically proposed, where mainly including synchronization, timing and frequency offset estimation and signal to noise ratio (SNR) estimation for signal identification. Under conditions with center frequency 12kHz and 1.1kHz, both simulations and field experiments were performed. Their numerical results validate the effectiveness and robustness of the proposed approaches via the good and stable performance of detection, synchronization, estimation and demodulation under the ultra-low power consumption even at long distances. 5
Session:
SPX1-02, Paper No.2729
Title:
The Low Power DSP Platform Design of Underwater Acoustic Communication System Di Zeng; Yan Shefeng; Xu Lijun; Zhang Zhen
Authors: Abstract:
The underwater acoustic communication system has a number of restrictions to DSP core because of the bad underwater environment. In view of this situation, we have designed a DSP platform with high performance, small scale, low power consumption and high reliability. This platform has only one processer, and a high speed and volume, low power SDRAM is integrated to improve the computation ability. Due to the powerful MCBSP interface and the Ping-Pong buffer transfer of EDMA3, the DSP platform can handle a large amount of high-speed serial data stream without frequently occupying CPU. This guarantees the CPU to focus on data processing. There are two modulation types available in this platform, i.e., MFSK and QPSK modulation. The two modulation types are selectable based on the status of underwater acoustic channel and can work on a half-duplex mode. The software upgrade of the platform is very convenient, since the UART is both used to communicate with the user or other device and update the program file in the SD card. A series of experiments indoor and in the sink have been conducted to test the key performance indictor of this platform. The MFSK data rate is 300bps and the QPSK data rate is 4.2kbps. The maximum total power consumption of the platform is only 775mW and the platform size is only 50*60mm.
Session:
SPX1-03, Paper No.2730
Title:
Design of an Underwater Acoustic Network Node
Authors:
Zhang Zhen;
Abstract:
Underwater acoustic network nodes are widely used in underwater sensor networks. In this paper, an underwater acoustic network nodes that works at the frequency between 10 kHz and 15 kHz is designed. This system can operate in two modulation methods, MFSK and QPSK, which have a data rate of 288 bps and 4.2 kbps respectively. Two series of experiments were conducted in different seasons to verify the performance of the system. The experiments results showed the system had a good performance of real-time acoustic communication at a distance up to 6 km.
Yan Shefeng;
Xu Lijun;
Zeng Di;
6
Session:
SPX1-04, Paper No.2741
Title:
Blind Channel Estimation and Phase Ambiguity Elimination in MIMO-OFDM Underwater Acoustic Communications Bu Renfei; Wang Shilian; Yu Xiaoyou;
Authors: Abstract:
Underwater acoustic (UWA) channel is bandwidth-limited owing to the low sound speed, severe time- and frequency-selective fading. We believe that improving the spectral-efficiency is a decent approach to increase the capacity of UWA systems. In this paper, we introduce a highly spectrum-efficient MIMO-OFDM system under UWA channel that uses blind channel estimation and elimination of phase ambiguity induced in equalization. We employ classic subspace algorithm (SPA) as the blind channel estimation method without the training sequences and pilot tones. To maximize the performance of SPA, a resampling-based solution to mitigate the channel Doppler shift is applied at the receiver. Considering the phase ambiguity introduced inherently in SPA, we use an interleaved symbol mapping schemes to eliminate the ambiguity, which achieves no rotational symmetry in the combined signal constellation. Numerical simulations verified that the phase error could be corrected without any data aiding and the spectrum efficiency of MIMO-OFDM UWA communications is greatly improved compared with pilot-based method.
Session:
SPX1-05, Paper No.2755
Title:
Performance analysis of Self Interference Cancellation in Bidirectional Relaying Underwater Acoustic CommunicationBiRUAC System Zhang Lingling; Huang Jianguo; Tang Chengkai;
Authors: Abstract:
Due to the underwater acoustic channel is more complexity than the wireless communication channel. It has more multipath interference and larger attenuation, so the rate of transmission in the underwater acoustic channel is lower and the probability of error is larger. Aim to those problems, we proposed a bidirectional relaying underwater acoustic communication system and analysis the performance of this algorithm. The algorithm utilized the self interference cancellation model to remove the self interference. In the performance analysis part, we set the different size of self interference cancellation model. The simulations show that our proposed algorithm has lower SER and higher rate of transmission. 7
Session:
SPX1-06, Paper No.2766
Title:
Passive Time Reversal based Hybrid time-frequency domain equalizer for Underwater Acoustic Communication Li Qinyuan; He Chengbing; Zhang Qunfei; Cheng Kejia
Authors: Abstract:
For recent years the passive time reversal process is one of the hotspots research in underwater communications.It has the property of space-time focusing, which has been used in single carrier time domain equalization (SC-TDE) system. Single carrier block transmission adopting frequency domain equalization processing, which has the advantages of low complexity. In order to improve the performance further, this paper presents a method of passive time reversal (TR) based hybrid time-frequency domain equalizer (TR-HTF) for underwater acoustic communication, two structures of TR-HTF is established. This method can effectively reduce tap order of time domain equalizer by using frequency domain equalizer in advance. Theoretical analysis and simulation studies have confirmed the validity of the proposed method.
Session:
SPX1-07, Paper No.2780
Title:
Error Characterization of Underwater Acoustic Channels Based on the Simple Fritchman Model Zhang, Xin; Zhang, Xiaoji;
Authors: Abstract:
Burst errors are often observed in the practical underwater acoustic channels because of the frequency selective fading, leading to the reliability performance degradation of the underwater acoustic communications. This paper proposes a coding channel model based on the simple Fritchman model for describing the burst error statistics of the underwater acoustic communications. The error-free run distribution, a special error statistical parameter, is derived from a measured error sequence and denoted with the curve fitting of the exponential function terms, yielding the simple Fritchman model with the fitting parameters. The burst error distribution and the block error probabilities are then calculated with the model and compared with the experimental values. It is shown that there is a good agreement between the calculated and the measured values. The coding channel model can be used for the design of the error-correcting code and decoding algorithms of the error control schemes for the underwater acoustic communications. 8
Session:
SPX1-08, Paper No.2831
Title:
A Novel Automatic Modulation Classification Method Based on Stockwell-transform and Energy Entropy for Underwater Acoustic Signals Zhao Zilu; Wang Shilian; Zhang Wei; Xie Yang;
Authors: Abstract:
Automatic Modulation Classification (AMC) of communication signals plays a significant role in communication systems. However, conventional methods of modulation classification have poor performance in a shallow water environment. Recently, the Stockwell-transform (S-transform), a new time-frequency analysis method, receives widely attention in different areas. In this paper, we introduce the S-transform into modulation classification and propose a novel method of modulation classification under underwater acoustic channel. Firstly, we set up a model of underwater acoustic channel based on Bellhop and the multipath Rayleigh fading channel model. Next, we extract features of energy entropy of S-transform time-frequency spectrum of signals, and then input them into the classifier, Support Vector Machine (SVM). Meanwhile, different signal sets are considered, which have different number of signal schemes. Finally, Matlab simulating experiments are performed to evaluate the performance of the proposed method for each signal set under AWGN channel, and results show that the proposed method reaches higher probability of correct classification than convention methods. Aiming at the problem under multipath fading channel, especially underwater acoustic channel, the simulated results show it effectiveness.
Session:
SPX1-09, Paper No.2855
Title:
Artificial Measurements Based Filter for Energy-Efficient Target Tracking in Underwater Wireless Sensor Networks Zhang, Senlin; Chen, Huayan; Liu, Meiqin; Zhang Qunfei;
Authors: Abstract:
Target tracking is one of the broad applications of underwater wireless sensor networks (UWSNs). Sensors of UWSNs are battery-powered and it is impracticable to replace the batteries when exhausted. That means the batteries life affecting the lifetime of whole networks. So, it is worth reducing the energy consumption on the premise of satisfactory tracking accuracy. This paper proposes an energy-efficient target tracking scheme that implements the tradeoff between communication rate and tracking accuracy. Under the distributed fusion framework, this scheme cuts down the weak information of local sensors by set a threshold of 9
the measurement residual. This approach saves much energy but may result in bad target tracking performance. We design an artificial measurements based filter to guarantee the target tracking accuracy. Simulation demonstrates that our scheme can save much energy while lost negligible target tracking accuracy by designing a proper threshold. Session:
SPX1-10, Paper No.2856
Title:
An Improved R-MAC Based MAC Protocol for Underwater Acoustic Networks Liu, Meiqin; Huang, Weikun; Qian, Liangfang; Zhang, Senlin; Long propagation delay, limited bandwidth and high bit error rate pose great challenges in Media Access Control (MAC) protocol design for underwater acoustic networks. A reservation based MAC protocol called R-MAC designed for underwater acoustic networks was proposed and analyzed. However, there exists channel resources waste problem in R-MAC. In order to overcome this drawback, this paper proposes an improved R-MAC based MAC protocol for underwater acoustic networks, called NR-MAC. To improve the channel utilization, NR-MAC introduces a new control packet called xREV. Then a new mechanism for data sending and receiving is designed and improved scheduling algorithms at receiver are proposed. Simulation results show that NR-MAC increases the network throughput as compared with R-MAC. Index Terms—underwater acoustic networks, medium access control, channel utilization, scheduling algorithms, throughput
Authors: Abstract:
Date:
August 6, Saturday, 1330-1500, Room AC2 2306
Session:
COM01 Communications Technique & Interest
Session:
COM01-01, Paper No.2736
Title:
An Approach for Optimizing the Reconfigurable Antenna and Improving Its Reconfigurability Zhang Yuan; Wu Chang Ying;
Authors: Abstract:
In order to reduce the complexity of the antenna and improve its reconfigurability, a multi-port network algorithm and a function of minimum probability (MP) are proposed. This function is used to evaluate the effects that different switches on the overall 10
reconfigurability of the antenna. During the simulation process, switches to be evaluated are turned on and off, respectively; while the other switches are in ON and OFF randomly. After receiving the impedance matrix of the Z matrix in that way, and evaluating each switch in the state of on and off by calculating the matrix network, those switches which have less contribution to the reconfigurability can be removed by sorting the minimum probabilities from bigness to smallness. To verify the feasibility of this method, a multi-switch reconfigurable antenna is introduced. The number of switches is reduced from 85 to 12 while still has the ability of reconfiguration at the entire band of 2 to 7 GHz. What’s more, the probability of resonance at each frequency has been increased. Index Terms—Reconfigurable antenna, multi-port network method, minimum probability. Session:
COM01-02, Paper No.2744
Title:
The Influence of Different Length of Standard Parts on the Accuracy of TRL Calibration Ru Tie Shan; Wu Chang Ying; Zhang Yuan;
Authors: Abstract:
This paper mainly studies the influence of the connection errors on the accuracy of the calibration. Through theoretical derivation of the simplified error transfer model, the influence of the introduced error can be obtained by repeatedly introducing errors at the transition; through HFSS-Matlab-API script programming, the simulation results via HFSS and Matlab can be obtained respectivity, which two are very consistent with each other. What’s more, introducing errors multiple times to the Device Under Test (DUT) during the process of measurement, the coefficient of variations of the measurement results will appear regularly maxima and minima with the length of standard parts and the different values of the resistance of DUTs. Therefore, in the condition that the standard parts and the connection parts of vector network analyzer have tiny difference, according to the values of DUTs and the length of the standard parts that the minimum value of the coefficient of variations corresponding to, a method that how to design suitable length of fixture and standard parts to reduce the calibration errors to the minimum has been proposed. In addition, the actual productions of the circuits have been measured, and the results are very consistent with the simulation results, which have verified the rationality of the design and the reliability of the simulation.
11
Index Terms—TRL calibration, DUT, calibration errors, standard parts, coefficient of variation. Session:
COM01-03, Paper No.2802
Title:
Optimal Sensor-target Geometries Analysis for Angle-of-Arrival Localization Pang Feifei; Zhang Qunfei; Shi Wentao
Authors: Abstract:
The target position accuracy suffers from the bad relative sensor-target geometries for Angle-of-arrival localization techniques. To reduce the impact, the optimal sensor-target geometries in the 2D plane are investigated based on maximizing the determinant of the Fisher information matrix. To solve the optimal problem, the conditions that the local optimal solutions should satisfy are studied by discussing the first derivative and Hessian matrix. For two sensors with arbitrary distance to the target, it is shown that the optimal geometry is obtained if the two bearing lines are mutually perpendicular. The optimal geometry is studied for more than two sensors with the equal distance. Simulation results illustrate the effectiveness of the proposed the optimal relative sensor-target geometries.
Session:
COM01-04, Paper No.2669
Title:
A Spectrum Auction Strategy for multimedia stream in Cognitive Radio Network Cao Jing; Wu Junsheng; Zhao Jianhua;
Authors: Abstract:
Research about multimedia streaming in cognitive radio network has become a hot issue recently. In order to enhance the throughput of real-time multimedia streaming and maximize the utility, we proposes a dynamic spectrum allocation strategy based on Qos-layering and auction theory (QLAS). In this strategy, we classify the secondary users according to the feature of data stream, and choose the optimal channel for every user. When the primary base station receives the access request, it chooses the winner based on auction theory and allocate spectrum to winners. Analysis and simulation result show that, this strategy can guarantee the heterogeneous requirements of heterogeneous SUs and improve the spectrum utilization.
Session:
COM01-05, Paper No.2800
Title:
Signal Detection of MIMO System Based on Quantum Ant Colony 12
Algorithm Authors:
Yanwei Yang;
Abstract:
In this paper, we investigate the problem of joint base station (BS) and user equipment (UE) clustering, sub-carrier and power allocation in multi-cell multi-user multiple-input multiple-output (MU-MIMO) orthogonal frequency division multiple access (OFDMA) system with the aim of maximizing the system sum rate while minimizing the number of BSs to serve each UE. We propose a dynamic clustering with adaptive coordinated multi-point (CoMP) algorithm (DCAC), to form BS and UE clusters which adapt to the channel state information (CSI) and quality of service (QoS) requirement. For a specified BS and UE cluster set, the optimization problem is transformed into a cluster-based cross-layer resource allocation problem with the aim of maximizing the system capacity. It is solved by the subgradient method for the dual problem. Numerical results show that the subgradient method converges quickly and the proposed DCAC method achieves significant sum rate improvement when compared with the fixed CoMP scheme.
Session:
COM01-06, Paper No.2955
Title:
Cluster-based Resource Allocation with Adaptive CoMP in Multi-cell MU-MIMO OFDMA System Mao, Yijie; Li, Victor.O.K;
Authors: Abstract:
Feng Hu; Zhong Jiang;
Chao Wang;
In this paper, we investigate the problem of joint base station (BS) and user equipment (UE) clustering, sub-carrier and power allocation in multi-cell multi-user multiple-input multiple-output (MU-MIMO) orthogonal frequency division multiple access (OFDMA) system with the aim of maximizing the system sum rate while minimizing the number of BSs to serve each UE. We propose a dynamic clustering with adaptive coordinated multi-point (CoMP) algorithm (DCAC), to form BS and UE clusters which adapt to the channel state information (CSI) and quality of service (QoS) requirement. For a specified BS and UE cluster set, the optimization problem is transformed into a cluster-based cross-layer resource allocation problem with the aim of maximizing the system capacity. It is solved by the subgradient method for the dual problem. Numerical results show that the subgradient method converges quickly and the proposed DCAC method achieves significant sum rate improvement when compared with the fixed 13
CoMP scheme. Date:
August 7, Saturday, 1530-1700, Room AC2 2306
Session:
COM02 Signal Processing and Communications
Session:
COM02-01, Paper No.2803
Title:
Scattering Channel Model and Channel Estimation in Fast Time-Varying and High Mobility Environments Chen, Xin; Fang, Yong;
Authors: Abstract:
In high dynamic circumstance, high-speed relative movement between spacecraft and receiver causes not only the carrier Doppler frequency offset but also the code-frequency offset. To tackle the problem of linear code phase drift in fast acquisition, this paper proposes a novel acquisition algorithm based on compensating the code-frequency offset. In the proposed algorithm, the carrier Doppler frequency offset is searched by fixed frequency step, then the code-frequency offset compensation for each dwell in Tong detector can be calculated to eliminate the impact of code phase drift. Furthermore, to reduce the computational complex and hardware resources, a folding structure is adopted in the parallel code phase search. Theoretical and simulation results verify the effectiveness of the proposed algorithm.
Session:
COM02-02, Paper No.2824
Title:
A Code Doppler Compensation Algorithm in Acquisition for High Dynamic Spread Spectrum signals Guo, Yichao; Guo, Jianmin; Lv, Pin; Huan, Hao; Tao, Ran;
Authors: Abstract:
In high dynamic circumstance, high-speed relative movement between spacecraft and receiver causes not only the carrier Doppler frequency offset but also the code-frequency offset. To tackle the problem of linear code phase drift in fast acquisition, this paper proposes a novel acquisition algorithm based on compensating the code-frequency offset. In the proposed algorithm, the carrier Doppler frequency offset is searched by fixed frequency step, then the code-frequency offset compensation for each dwell in Tong detector can be calculated to eliminate the impact of code phase drift. Furthermore, to reduce the computational complex and hardware resources, a folding structure is adopted in the parallel code phase search. Theoretical and simulation results verify the 14
effectiveness of the proposed algorithm. Index Terms—spread spectrum, high dynamic, Doppler compensation, detection performance. Session:
COM02-03, Paper No.2865
Title:
chaotic signal extraction in wireless sensor networks with unknown statistics Ren Ziliang; Feng Jiuchao; Zhao Zhi; Qin Yong;
Authors: Abstract:
For solving the issue of the chaotic signal extraction in wireless sensor networks (WSNs) with unknown statistics, we present a new algorithm based on a cost reference cubature particle filter (CRCPF) in this paper. The CRCPF uses the cubature-points rule to obtain prediction particles before propagation and resampling, meanwhile, it realizes particle selection and propagation by the user-defined cost and risk functions. Simulation results confirm that the proposed algorithm can extract chaotic signal effectively in the situation of the probability distribution of the noise is unknown.
Session:
COM02-04, Paper No.2904
Title:
Study on a High Spectrum Modulation by Introducing Intersymbol Interference Ji, Chunlin; Liu, Ruopeng;
Authors: Abstract:
The design of the communication system follows the Nyquist intersymbol interference (ISI) criterion, which explains the design principle of the transmitting and receiving filters to mitigate the effects of ISI. In this work, we study how to utilize the ISI to benefit a communication system. We propose a novel modulation framework, which transmits the constellation symbols much faster than the Nyquist rate and therefore introduces heavy interference between consecutive symbols. The benefit of such modulation is that the frequency bandwidth of the modulated symbols is significantly compressed compared to the traditional modulated symbol with the same symbol rate. We discuss the demodulation process and present a particle filtering-type approximation demodulation method. Numerical simulation and comparison study demonstrate that under an achievable signal noise ration condition the meta-modulation realize a high spectrum efficiency, which is impossible to implement in the traditional QAM system.
Session:
COM02-05, Paper No.2913 15
Title: Authors: Abstract:
Multilevel-DFT based Low-Complexity Hybrid Precoding for Millimeter Wave MIMO Systems Liu, Yu-Hsin; Chen, Chiang-Hen; Tsai, Cheng-Rung; Wu, An-Yeu (Andy); The millimeter wave (mmWave) multiple-input multiple-output is a promising technique for next-generation (5G) communication systems. The inherently high path loss in mmWave can be compensated by adopting large antenna array. However, huge cost of radio frequency (RF) chains at high frequencies, as well as large number of antennas, makes full-digital precoding in mmWave-MIMO system infeasible. Hence, hybrid analog/digital precoding techniques are proposed to reduce the hardware cost of RF components while achieving similar performance as full-digital precoder. Usually it requires iterative process and matrix inversion to split full-digital precoder into hybrid structure. In this paper, we propose a low-complexity hybrid precoding algorithm with predefined rotated multilevel-DFT codebook. It can leverage orthogonal mapping process to avoid iterative process and matrix inversion. Simulation results demonstrate that the proposed algorithm can achieve 97.6% spectrum efficiency compared with state-of-the-art low-complexity hybrid precoding algorithm while reducing 99.7% complexity in terms of complex multiplications.
Session:
COM02-06, Paper No.3001
Title:
An Improved Low-Complexity PTS Scheme for PAPR Reduction in OFDM Systems Ku, Sheng-Ju;
Authors: Abstract:
In this paper, an improved low-complexity partial transmit sequences (PTS) scheme is proposed to reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) systems. In the proposed PTS scheme, a set of cost functions derived from the power of the time-domain samples of each subblock is used to select the samples for peak power estimation. Furthermore, we develop a new two-stage algorithm to reduce the computational complexity of the optimization process of the PTS scheme. Compared to related works, the proposed PTS scheme can achieve similar PAPR reduction performance, but with much lower computational complexity.
Date:
August 7, Saturday, 1330-1700, Room AC2 2310
Session:
DSPCR10 Distinguish Paper Presentation 16
Session:
DSPC-01, Paper No.2746
Title:
Under-ice underwater acoustic communication based on direct sequence spread spectrum system with parametric emission Tang Shengyu; Zhu Guangping; Zhang Xiao; Yin Jingwei; Guo Longxiang; Shi Wei; With the development of Arctic Underwater Acoustic, the under-ice underwater acoustic communication has gradually become an important indicator. It requires the system has low complex multipath structure and low interference between users to keep the autonomous underwater vehicles (AUV) work stably. This paper presents the technique of under-ice underwater acoustic communication based on parametric transmitter and direct sequence spread spectrum system. The differential signal of parametric array has a narrow directivity similar to the original signal, which can reduce the multipath effect, and improve the reuse rate of underwater acoustic channel at the same time. Spread spectrum underwater acoustic communication technology is capable of communicating under the condition of low signal to noise ratio (SNR), and confidentiality of the pseudo-random sequence can meet the requirements of remote communication. The theoretical research and outfield trial verify the feasibility and effectiveness of the proposed under-ice underwater acoustic communication method.
Authors: Abstract:
Session:
DSPC-02, Paper No.2916
Title:
Joint RF/Baseband Grouping-based Codebook Design for Hybrid Beamforming in mmWave MIMO Systems Wu, Chien-Sheng; Chen, Chiang-Hen; Tsai, Cheng-Rung; Wu, An-Yeu (Andy); Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) is a key technology for next-generation mobile communication. To overcome mmWave’s instinctive channel limitations like serious path attenuation, beamforming is essential for communication systems. In this paper, we proposed a low-complexity hybrid codebook design algorithm for mmWave MIMO motivated by Lloyd algorithm with orthogonal mapping technique motivated by Compressive Sensing (CS). Based on the proposed hybrid codebook design, RF beamforming classification (RF-C) algorithm is later proposed with reduced search effort. This work can support large number of antennas, and achieves good
Authors: Abstract:
17
performance with low computational complexity and low search overhead. Simulation results show that the proposed codebook and feedback strategy reduce the search complexity by more than 85% with less than 4% performance loss compared with related work. Session:
DSPC-03, Paper No.2925
Title:
Learning Discriminative CNN Features and Similarity Metrics for Image Retrieval Sun Peixia; Lin Huiting; Luo Tao;
Authors: Abstract:
This paper proposes a CNN-based retrieval framework that uses Siamese network to learn a CNN model for image feature extraction. Model training and testing stages often use the same similarity metric. But this paper adopts a contrastive loss function with different distance metrics to fine-tune a pre-trained CNN model, and applies different distance metrics in testing stage. Through experimenting with different similarity metrics, this paper finally finds that using the L2 distance to specify the contrastive loss function while applying cosine similarity during testing achieves the best performance. Its mean average precision (mAP) achieves 58.2%, and is 1-2% higher than the previous best method [4]. It shows that the similarity metrics for training and testing need not be same. Subsequently, we learn more generalized similarity metrics for model training and testing independently by minimizing a hinge loss function defined over a pair of global image representations. Compared with the existing image retrieval methods that involve hand-crafted features, our proposed framework performs well on four typical retrieval datasets.
Session:
DSPC-04, Paper No.2937
Title:
On The Importance Of Network Architecture In Training Very Deep Neural Networks Chi, Zhizhen; Li, Hongyang; Wang Jingjing; Lu Huchuan
Authors: Abstract:
Very deep neural networks with hundreds or more layers have achieved significant success in a variety of vision tasks spanning from image classification, detection, to image captioning. However, simply stacking more layers in the convolution operation could suffer from the gradient vanishing problem and thus could not lower down the training loss further. The residual network pushes the model's depth to extremely deep by proposing an identity mapping plus a residual learning term and addresses the gradient back-propagation bottleneck well. In this paper, we investigate the
18
residual module in great extent by analyzing the structure ordering of different blocks and modify them one by one to achieve lower test error on CIFAR-10 dataset. One key observation is that removing the original ReLU activation could facilitate the gradient propagation in the identity mapping path. Moreover, inspired by the ResNet block, we propose a random-jump scheme to skip some residual connections during training, i.e., lower features could jump to any subsequent layers and bypass its transformations directly to the higher level. Such an upgrade to the network structure not only saves training time but also obtains better performance Session:
DSPC-05, Paper No.2981
Title:
Joint LMMSE and MAP Channel Estimation Using BCRB Training Design for Correlated Two-way MIMO Relay Systems Chen Huiming; Lam Wong-Hing;
Authors: Abstract:
In this paper, we propose a two-stage channel estimation scheme for two-way MIMO relay systems with a single relay antenna. We assume the training process is performed under correlated Rayleigh fading channels. At the first stage, the backward channel is estimated by using linear minimum mean square estimator (LMMSE). Based on the backward channel estimator, we propose a novel forward channel estimation scheme by using asymptotic maximum a posterior (MAP) method. Since Bayesian Cram′ er-rao Lower Bound (BCRLB) is more amenable to handle and has been widely used in practice, we seek BCRLB based on asymptotic likelihood function as the criterion for training signal design. Finally, the numerical results show that the proposed training signal can improve the MSE performance.
Session:
DSPC-06, Paper No.2869
Title:
Deep Image Retrieval and Classification on SparkNet
Authors:
Li, Hangyang;
Abstract:
Image retrieval and classification are hot topics in computer vision and have attracted great attention nowadays with the emergence of large-scale data.We propose a new scheme to use both deep learning models and large-scale computing platform and jointly learn powerful feature representations in image classification and retrieval. We achieve a superior performance on the ImageNet dataset, where the framework is easy to be embedded for daily user experience. First we conduct the classification task using deep
Su, Peng;
Chiy, Zhizhen; Wang, Jinging
19
convolutional neural networks with several novel techniques, including batch normalization and multi-crop testing to obtain a better performance. Then we transfer the network's knowledge to image retrieval task by comparingthe feature codebook of the query image with those feature database extracted from the deep model. Such a search pipeline is implemented in a MapReduce framework on the Spark platform, which is suitable for large-scale and real-time data processing. At last, the system outputs to users some textual information of the predicted object searching from Internet as well as similar images from the retrieval stage, making our work a real application. Date:
August 7, Sunday, 0900-1230, Room AC2 2312
Session:
SPG02 Radar and Sonar Systems
Session:
SPG02-01, Paper No.2699
Title:
Target Aspect Angle Estimation for Synthetic Aperture Radar Automatic Target Recognition Using Sparse Representation Chen Shichao; Liu Ming; Lu Fugang; Wang Jun;
Authors: Abstract:
Aspect angle estimation of the targets is of great help to computational reduction for template-based synthetic aperture radar (SAR) automation target recognition (ATR) algorithms. An effective aspect angle estimation algorithm of targets in SAR images based on sparse representation is proposed in this paper. The spare vector is firstly obtained under the dictionary which is constructed by all the training samples. And then, taking the characteristic that the SAR image sample is sensitive to the target aspect angles into consideration, the reconstruction error is calculated by each training sample according to the nonzero entry of the sparse vector. The aspect angle of the sample with the smallest reconstruction error is regarded as the final output. And the proposed algorithm does not suffer the 180 degree ambiguity. Experiments carried out on the moving and stationary target acquisition and recognition (MSTAR) datasets validate the effectiveness of the proposed algorithm.
Session:
SPG02-02, Paper No.2713
Title:
Optimal Waveform synthesis for adaptive Radar
Authors:
Fu Xiongjun; Peng Shuilian;
Zhang Chengyan;
Xie Min; 20
Abstract:
Target's echoes from different radar transmitted waveforms can provide different target signatures.. As for adaptive radar, the transmitted waveforms are adaptive to the operational environment to acquire optimal performance. This paper presents a waveform synthesis method for adaptive radar based on a cascade of the water-filling algorithm and iterative least squares (LS) approach. The optimal energy spectrum density (ESD) of the synthesized waveform is obtained by the water-filling algorithm based on maximizing the mutual information (MI) criterion; the echo can then extract the maximum amount of target information. The iterative LS approach is used to synthesize the complex-valued waveform in time domain while the modulus of synthesized waveform remains constant, which is helpful for maintaining the transmitter efficiency. Simulation results show that the proposed optimal waveform synthesis method is competent for adaptive radar.
Session:
SPG02-03, Paper No.2725
Title:
Fresnel Based Frequency Domain Adaptive Beamforming for Large Aperture Distributed Array Radar Yang Bo; Li Bo; Yan Zhongjiang; Yang Mao;
Authors: Abstract:
Distributed array radar is a significant radar system, which can not only improve radar detection capability and measurement accuracy, but also suppress mainlobe interference effectively. However, due to its equivalent large aperture, the plane wave assumption fails. What’s worse, target signals arriving at each array may have the envelope migration problem, thus the traditional adaptive beamforming method becomes invalid. This paper proposes a Fresnel based frequency domain adaptive beamforming method for large aperture distributed array radar. Instead of plane wave model, it uses the Fresnel model based steering vector to improve accuracy. Meanwhile, it transforms the time domain signal to frequency domain, and using the traditional adaptive beamforming method for each frequency point respectively. Finally, it accomplishes the frequency domain adaptive beamforming by an inverse Fourier transform (IFFT). In result, this method could eliminate the envelope migration problem effectively. Simulations illustrate the effectiveness of the proposed method.
Session:
SPG02-04, Paper No.2740
Title:
Resolution Analysis Based on Distinguishable Ellipse in Squinted 21
SAR under Maneuvering Flight Authors:
Gao Jing;
Abstract:
Geometric configuration of imaging varies significantly over time in squinted synthetic aperture radar (SAR) when platform is under maneuvering flight. The classic resolution analysis in the traditional SAR is not suitable in this case. In order to illustrate a general description of the resolution characteristics of the system, a method of resolution analysis based on distinguishable ellipse in squinted SAR under different geometric configurations is presented. In addition, two options for finding the optimal synthetic aperture of target identification by estimating resolution are proposed. The simulation results show that this method is adaptive to conditions of different flight parameters and geometric configurations in squinted SAR under maneuvering flight.
Session:
SPG02-05, Paper No.2760
Title:
Virtual Single-node Processing for SAR Imaging Based on Multi-DSP Jin Ye; Hu Shanqing; Zhao Jiayun; Long Teng;
Authors:
Li Feng; Ma Zhixun; Wang Zhen;
Abstract:
With the development of SAR technology, the SAR imaging processing data capability and computation complexity increases greatly. According to the situation, we design a virtual single node (VSN) parallel processing method, which uses 8 TMS320C6678 DSPs as a big processor to realize the large capability distributed storage and short time delay of SAR imaging processing. This method designs a remote reading and writing time beat of range line and azimuth line in distributed DDR to improve the remote transmission bandwidth between DSPs, and a data layout optimization approach in local DDR to achieve a balanced two-dimensional matrix local storage bandwidth. Finally, this paper realizes the SAR imaging algorithm based on the VSN method using 8 C6678s.
Session:
SPG02-06, Paper No.2762
Title:
SAR Geometric Correction Algorithm Improvement on Multi-core C6678 DSPs Lu Mengyu; Wang Jinghua; Jin Ye;
Authors: Abstract:
This paper achieves the SAR geometric correction algorithm and makes improvements based on multi-core C6678 DSPs. To solve the insufficient real-time problem, this paper improves the 22
geometric correction, and designs process software that can meet the real-time requirements, from the process flow, process algorithm and storage process aspects. This paper describes the multiple DPSs parallel process scheme and multi-core mapping tasks, and makes a comparison of the time-consuming before optimization and after. And after the optimization, the geometric correction’s efficiency is two times of the original. After verification, the parallel process software designed in this paper can meet the real-time requirements of the project, and also has good stability. Session:
SPG02-07, Paper No.2786
Title:
Non-Contact Vibration Retrieval and Performance Analysis Based on LFMCW Radar Liao Xin; Liu Shuai; Xiang Yin; Ding Zegang; Yan Xuemei; In the paper, a non-contact vibration retrieval method was presented and the performance was analyzed based on linear frequency modulation continuous wave (LFMCW) radar. Firstly, the backscattered signal model of a vibrational target was introduced with the stop-go assumption. Then a vibration retrieval method was proposed by extracting phase based on the backscattered signal model of a vibrational target. The influence of noise and clutter on vibration retrieval was analyzed, and the signal noise ratio of vibration measurement was obtained. Finally, the validity of the performance analysis was verified by computer simulations. In addition, the experimental data acquired by LFMCW radar was used to test the proposed method.
Authors: Abstract:
Session:
SPG02-08, Paper No.2787
Title:
An Efficient TOPS Imaging Algorithm Based on Spectral Analysis
Authors:
Wang Xiaobei;
Abstract:
The Terrain Observation by Progressive Scans (TOPS) mode solves the problems existing in the conventional ScanSAR mode by steering the antenna along the azimuth direction. However, the antenna steering introduces a serious azimuth signal aliasing both in time-domain and frequency-domain, thus traditional imaging algorithms are not available for the TOPS mode. In order to solve the azimuth signal aliasing, an efficient TOPS imaging algorithm based on spectral analysis (SPECAN) is presented in this paper, which is improved by sub-apertures division in the azimuth
Yin Peng; Ding Zegang;
Yan Xuemei;
23
processing part. Only few FFTs and complex multiplications are used in the whole imaging processing, thus the algorithm has a high efficiency. What’s more, in the final focused image, different ranges have the same azimuth interval and the azimuth image resolution is alterable according to the application requirements. Finally, some simulations are conducted to verify the validity of the proposed method. Session:
SPG02-09, Paper No.2807
Title:
MIMO-OFDM Radar Waveform Design for Improving the Detection Performance of STAP Wang, Xue; Wang, Hongyan; Pei, Bingnan;
Authors: Abstract:
In this paper, we address the waveform optimization problem for improving the detection performance of MIMO-OFDM radar based STAP in the complex environment. Under the maximizing the output signal-to-interference-and-noise-ratio (SINR) criterion, the waveform optimization problem for improving the detection performance of STAP is derived, which is subjected to the constant modulus constraint. To tackle the resultant nonlinear and complicated optimization issue, a novel diagonal loading (DL) based method is proposed to reformulate it as a semidefinite programming (SDP) one, and then this problem can be solved very efficiently. In what follows, the optimized waveform covariance matrix (WCM) can be obtained to maximize the output SINR of MIMO-OFDM such that the detection performance of STAP can be improved. The simulation results show that the proposed method can improve the output SINR detection performance considerably, as compared to that of uncorrelated waveforms.
Session:
SPG02-10, Paper No.2817
Title:
An Improved Phase Gradient Autofocus Method for One-Stationary Bistatic SAR Chen, Shichao; Liu, Ming; Lu, Fugang; Wang, Jun;
Authors: Abstract:
The motion errors of bistatic synthetic aperture radar (BiSAR) are still considerable after traditional phase gradient autofocus (PGA) for bistatic SAR in some situations, and the residual range-dependent phase errors are still too large to cause defocusing. To overcome the problem, a modified PGA algorithm is proposed in this paper to deal with the range-dependent phase errors for one-stationary bistatic SAR. Besides, the local maximum likelihood theory is embedded in to enhance the performance of the proposed
24
algorithm. Advantages and effectiveness of the proposed algorithm are verified on the real bistatic SAR data. Date:
August 7, Sunday, 1330-1700, Room AC2 2513
Session:
SPX1- Underwater Signal Processing and Commsunications
Session:
SPX1-11, Paper No.2861
Title:
A Low Complexity Clustering Optimization Algorithm for Underwater Sensor Networks Zhang Hao; Wang Shi-Lian; Sun Hai-Xin;
Authors: Abstract:
In view of the problem of load imbalance and low energy efficiency in the existing underwater sensor network clustering algorithm, a new global optimal clustering algorithm with low complexity and parallel processing is proposed. Based on the basic idea of particle swarm optimization algorithm (PSO), binary code for each sensor node is performed. And through the adjustment of the coding, the current particle code meets the ideal number of cluster heads. The new particles are generated by random recombination of the coding region of the surviving nodes. In the particle evaluation function, the three optimization objectives are considered, which are cluster head energy, cluster head load and cluster range. Simulation results show that the proposed algorithm can effectively improve the load balance and prolong the network lifetime.
Session:
SPX1-12, Paper No.2864
Title:
PN Sequence Based Doppler and Channel Estimation for Underwater Acoustic OFDM Communication Liu Lanjun; Zhang Yonglei; Zhang Pengcheng; Jin Jiucai; Zhang Jie; Lv Zhichao; Aiming at the requirement of Doppler and channel estimation which applied to underwater mobile communication with orthogonal frequency division multiplexing (OFDM) technology, a PN sequence based method for Doppler and channel estimation is proposed, an underwater acoustic OFDM communication system structure is given and a block data frame based on PN sequence is designed. For the Doppler estimation and compensation, a delay cross-correlation method is adopted to estimate and compensate the Doppler factor by utilizing the orthogonality of PN sequence, and joints PN sequence and cyclic prefix for carrier frequency offset (CFO) estimation and compensation. While in the aspect of channel
Authors: Abstract:
25
estimation, decision feedback channel estimation method based on PN sequence is used. Simulation results show the effectiveness of the proposed Doppler and channel estimation method. Compared with the traditional LFM cross-correlation method, the delay cross-correlation method based on PN sequence decreases two orders of magnitude of Doppler factor estimation error. The constellation map of joint CFO estimation based on PN sequence and cyclic prefix is convergent obviously. The decision feedback channel estimation based on PN sequence could obtain about 6dB performance gains. Session:
SPX1-13, Paper No.2870
Title:
An Experiment-Based Time-Varying Underwater Acoustic Communication Channel Model Regarding Bottom Scattering Yuan, Zhuqing; Yan, Shefeng; Qin, Ye; Xu, Lijun;
Authors: Abstract:
This paper presents an underwater acoustic communication channel model to reveal the influence of rough bottom reflection and scattering on the channel. We analyze experimental data from two channel measurement campaigns, and concentrate on the channel properties such as the spread-Doppler function, the time coherence function and the spatial coherence function to study the variations induced by medium inhomogeneity and random scattering of the rough bottom. It is found that the time-varying channel impulse response can be explained by using forward scattering theory under downward refracting sound velocity and mountain seabed condition, and the experimental results show good match to our model.
Session:
SPX1-14, Paper No.2887
Title:
Robustness Verification of an OFDM System for Shallow Water Communication Ma Yiran; Jiang Zhe; Wang Xin; Ge Yao; Shen Xiaohong;
Authors: Abstract:
The severe time-varying multipath effect of underwater acoustic (UWA) channels has posed a great challenge for shallow water communication system design. Although existing literature has demonstrated that multicarrier modulation in the form of orthogonal frequency division multiplexing(OFDM) is an effective technique to deal with severe multipath effect of UWA channels, the experiments of medium distance OFDM UWA communication in shallow water are insufficient. In this paper, a specific OFDM UWA communication system design with experimental results
26
from a reservoir test conducted in Danjiangkou Reservoir in China as well as its comparison against single-carrier UWA systems has been offered. The experimental results demonstrated that the performance of OFDM system is significantly robust in shallow water. Therefore OFDM is a practical choice for stable UWA communication, especially when the multipath delay of UWA channel is very large. Session:
SPX1-15, Paper No.2898
Title:
Adaptive Underwater Image Compression with High Robust Based on Compressed Sensing Chen Weiling; Yuan Fei; Cheng En;
Authors: Abstract:
Saliency was overlooked by most of the conventional block compressed sensing (BCS). Actually, image blocks belong to salient region need more measurements while less measurements can meet the need of image blocks that are not salient when considering about observation in BCS. In this paper, an adaptive image compression based on compressed sensing is proposed. The observation matrix is designed according to the image saliency. The more important image block is, the more measurements this block will get. The saliency will be measured according to spatial domain (Image Activity Measure) and frequency domain (bispectrum). In addition, condition for underwater acoustic channel is poor than wireless channel, the need for a transmission scheme with high robust is greater. In this paper, the lost measurement can be located according to error detecting coding, and the lost measurement can be repaired by interpolation. Relevant experiments shows that the method proposed in this paper can improved the compression ratio and quality of reconstructed image in receiving end.
Session:
SPX1-16, Paper No.2899
Title:
Beam Diversity For Single-Carrier Block Transmission Underwater Acoustic Communications He Chengbing; Cheng Kejia; Li Qinyuan; Shi Wentao; Zhan Qunfei Recently, single-carrier block transmission (SCBT) has been considered for phase-coherent underwater acoustic communication due to its reduced computational complexity and low peak-to-average power ratio. It offers a viable design alternative to the orthogonal frequency-division multiplexing (OFDM) techniques. Spatial processing is considered for SCBT based
Authors: Abstract:
27
high-rate underwater acoustic communication due to its ability to mitigate the channel fading and intersymbol interference (ISI). Session:
SPX1-17, Paper No.2917
Title:
The study of Spatial Diversity and Combination Technology for Phase-Coherent Underwater Acoustic Communication Li Jilong; Feng Haihong; Guo Xi; Huang Minyan; Min Jinghui; The UWA channel is characterized as a time-dispersive rapidly fading channel, which in addition exhibits Doppler instabilities. To eliminate inter-symbol interference caused by multipath propagation, spatial diversity equalization is the main technical means. This paper mainly uses the method of complex weighted coefficient to achieve high SNR signal and maximize array gain. This paper uses the passive-phase-conjugation (PPC) algorithm to calculate signal-to-noise ratio(SNR) and signal-to-interference ratio(SIR) with impulse response function and communication signal. This paper firstly calculates the signal-to-noise-plus-interference ratio (SNIR) and uses the Sigmoid function to optimize the weighted coefficients of each channel. Secondly, the optimized weighted coefficients need to be normalized. It implements space and time joint equalization. Thirdly, by introducing the second order phase locked loop, it can track signal phase change caused by UWA channel. Lastly, the paper adopts fractional-decision feedback diversity equalizer(FDFDE). It achieves diversity equalization by using different channel weighted coefficients. The simulation and lake trial data processing results show that, the optimized diversity receiving equalization algorithm can improve communication system’s ability in tracking the change of underwater acoustic channel, offset the impact of multipath and noise, and improve the performance of communication system. The performance of the communication receiving system is better than that of the combination with equal gain. At the same time, the bit error rate (BER) reduces for 1.7%.
Authors: Abstract:
Session:
SPX1-18, Paper No.3012
Title: Authors:
Bionic Communication by Dolphin Whistle with Continuous-Phase based on MSK Modulation Liu, Songzuo; Ma, Tianlong; Qiao, Gang; Kuang, Biao;
Abstract:
A Multi-beam based frequency domain equalizer is proposed in this 28
paper to improve the performance of communication system. Based on the real data collected from a lake test conducted in November 2011, the credibility of the proposed algorithm was identified. We find that the BER performance of beam diversity was slightly improved compared with the conventional element-domain multichannel equalizer. With BPSK modulation, at the range of 1.8km and data rate of $1500$ bit/s, the multi-beam processing has no error bits. Session:
SPX1-19, Paper No.3013
Title:
On Feature Extraction of Ship Radiated Noise Using D Spectrum and Principal Components Analysis Wei Xin;
Authors: Abstract:
To obtain the valid information from the ship radiated noise and achieve the purpose of the target recognition, we present a new approach for extracting ship radiated noise based on the 1 1/2D spectrum and the principal component analysis (PCA) method. Firstly, initial characteristic is obtained from the ship radiated noise by using the sub-band energy of 1 1/2D spectrum. Then PCA is utilized to get the final characteristics. Furthermore, a neural network is designed to use the final characteristic to recognize the ship radiated noise. Experimental results show that the proposed feature extracting method has better classification results and good stability.
Session:
SPX1-20, Paper No.3014
Title:
Pulse Position Modulation Spread Spectrum Underwater Acoustic Communication System using N-H Sequence Tang, Zheng; Zhou, Feng; Zheng, Wenting;
Authors: Abstract:
In this paper,we proposed a new Pulse Position Modulation(PPM) Spread Spectrum Underwater Acoustic Communication System using N-H Sequence,and we compared the PPM system performance using N-H sequence with the system using m sequence,and then we proved that the system we proposed has superior performance.
Date:
August 7, Sunday, 0900-1230, Room AC2 2306
Session:
COM03 Wireless Communications and Networks 29
Session:
COM03-01, Paper No.2681
Title:
The Configuration of a Flexible Control Binary Offset Carrier Modulation Signal Liu Fan; Zhang Xin-xin; Tian Ming-hao; Feng Yong-xin;
Authors: Abstract:
Along with the fast development of spread spectrum communication and global positioning system, varied signal forms are proposed, especially the emergence of BOC modulated signal leads to the characteristics of multi peaks and spectrum splitting. However, consider the need for the flexibility and extensible BOC signals application, a flexible control binary offset carrier modulation signal is proposed in this paper. Based on the BOC modulation signal, the control parameter is defined in the new signal, and the flexible single period subcarrier sequence is generated by configuring the control parameter. Further, the single period subcarrier sequence is periodically expanded to get the subcarrier, which is modulated by PRN code to get FC-BOC signal. This signal has the dynamic and flexibility of the spectrum and correlation function, and can provide a reference for the application of the new generation of spread spectrum signal and navigation signal.
Session:
COM03-02, Paper No.2684
Title:
Multi-UAVs Cooperative Control in Communication Relay
Authors:
Fu, Xiaowei; Gao, Xiaoguang;
Abstract:
A kind of Multi-UAVs cooperative control algorithm under a disaster search and rescue scenario is presented. The states of UAVs are separated as search and relay. In search state, UAVs constantly look for wireless signals from the ground rescue workers by planning path under communication constraints. In relay state, UAVs share information without delay by selecting information route and planning UAVs flight path. Simulation results show that this kind of multi-UAVs cooperative control algorithm could plan path for UAVs efficiently and optimize communication performance of relay network.
Session:
COM03-03, Paper No.2711
Title:
An Integrated Full-duplex Transceiver Based on Novel Self-interference Suppression Solution including Non-ideality Analysis Du, Yongqian; Li, Guifang; Liu, Shibin;
Authors:
30
Abstract:
Co-time and co-frequency full-duplex (CCFD) is an effective technology with promising application prospect in improving the spectrum efficiency for wireless communication. However, it was viewed as impossible not too long ago for its sever self-interference. In this work, a novel intermediate frequency self-interference suppression solution with a symmetrical reconstruction path is proposed, based on which a single antenna and single chip integrated CCFD transceiver is realized. The proposed CCFD transceiver adopts an N-phase passive mixer (NPPM) first architecture, where the NPPM is interfaced directly to the antenna. Furthermore, to suppress the non-ideality of clock overlap of the NPPM, which is the fundamental component and directly decides the performance of the full CCFD transceiver, an overlap safeguard factor is introduced. The CCFD transceiver including the self-interference suppression solution and the validity of the overlap safeguard factor in suppressing clock overlap are simulated and verified under Cadence Spectre RF platform. The simulation results show that the smallest self-interference suppression depth is 34dB and it increased proportionally with the increasing of the transmitting power under ideal impedance match. The proposed overlap safeguard factor can also guarantee good impedance match performance even a clock overlap as big as 4% exists.
Session:
COM03-04, Paper No.2718
Title:
A Coloring-based Cluster Resource Allocation for Ultra Dense Network Zhao Caidan; Xu Xiaofei; Gao Zhibin; Huang Lianfen;
Authors: Abstract:
Ultra dense network (UDN) technology will certainly be the key to the future development of the fifth Generation (5G) mobile communication. In order to improve spectral efficiency and coordinate the downlink interference for UDN, a coloring-based cluster resource allocation (CCRA) algorithm based on the graph theory is proposed and simulated in the article. In this paper, a large-scale phantom network is considered which can largely separate control-plane and user-plane. It is effective to utilize macro eNodeBs control to allocate resources to users, and phantom nodes to transmit user data in the large-scale phantom cell. Simulation results suggest that the proposed approach not only fits in the user-oriented networks but also guarantees a better throughput and improves the spectrum efficiency in densely deployed phantom cells.
31
Session:
COM03-05, Paper No.2747
Title:
A Cooperative Multi-channel MAC Protocol with m-step Channel Reservation for the Next Generation WLAN Yang Bo; Li Bo; Yan Zhongjiang; Yang Mao;
Authors: Abstract:
Most recently, an enhancement amendment named IEEE 802.11ax is proposed by the High-Efficiency WLAN (HEW) Task Group for the Next Generation WLAN (NGW), with a focus on improving spectrum efficiency as well as area throughput. However, collisions among stations (STAs) and Low-Rate-Links (LRLs) severely degrade the network performance, which have become a great matter of concern. In this paper, a channel reservation based multi-channel MAC protocol with serial cooperation is proposed for the next generation WLAN, called CRSC-MMAC, to explore the capabilities of both cooperative relay and channel reservation. In particular, with cooperative relay available, a LRL is divided into two wireless links that sequentially occur on the same data channel with higher data rate. Besides, by using multi-step channel reservation, multiple cooperative transmission opportunities can be reserved in advance with only one successful handshake on the control channel, and thus collisions are effectively alleviated. Extensive simul ations are deployed using ns-2 simulator, simulation results show that saturation throughput of the proposed CRSC-MMAC protocol is nearly two times of that of the ‘Baseline’ scheme, and average packet delay of CRSCMMAC is decreased by nearly 33%.
Session:
COM03-06, Paper No.2833
Title:
Clustering-based Relay Selective Decode-and-Forward Relaying Scheme Yang Peiyao; Li Hai; Hou Shujuan;
Authors: Abstract:
In this paper, we propose and analyze a new relaying scheme for the three-node cooperative system, named as clustering-based relay selective decode-and-forward (CSDF). The source broadcasts a parallel concatenated recursive systematic convolutional (RSC) code to both the relay and the destination.When the decoding error is detected at the relay, a kernel K-Means clustering algorithm is applied to distinguish the reliable bits from the unreliable bits. The relay then forwards the bits that are deemed reliable and discards the bits that are not, resulting in less errors propagating to the destination. The closed-form expression of bit error rate(BER) is
32
derived to demonstrate the relation between error propagation and system performance of our proposed relaying scheme. Simulation results show that the proposed scheme achieves better performance and efficiently reduce error propagation. Session:
COM03-07, Paper No.2890
Title:
Novel Control Signal Detection for High-Rate Transmission in LTE-OFDM Systems Li Jun; Wen Miaowen; Jiang Xueqin; Yan Yier;
Authors: Abstract:
The control signal (CS) is an integral essential part for the transmission of uplink and downlink channels in longterm evolution (LTE) systems. Hence, an inaccurate detection method for the CS leads to a severe performance degradation. In this paper, we propose a novel CS detection method for LTEorthogonal frequency division multiplexing (OFDM) systems. The proposed method dispenses with the channel estimation compared with the conventional maximum-likelihood (ML) detection, which avoid intersecting the pilots in the transmitted signals. Duo to this fact, our proposed detection method can increase the system transmission rate without any additional expense. Monte-Carlo simulations are performed. The simulation results show that the proposed detection outperforms the ML detection when transmitting a large length of control signals.
Session:
COM03-08, Paper No.2912
Title:
Simulation and Optimization of HF Transmission Method
Authors:
Fan Xianxue; Jin Xinghua;
Abstract:
A high frequency (HF) transmission method with low complexity processing property is used in a project. The simulation mode is build based on OMNeT++, and wireless channel conflict probability and utilization ratio performances are simulated. The performances with different network scale and parameter factors are analyzed. Then, an optimization HF transmission method with clustering method is proposed to improve the performances in no-equality distributed information HF network.
Session:
COM03-09, Paper No.2927
Title:
MAC Protocol Framework for the 5G mmWave Backhaul Network 33
Authors: Abstract:
Liang, Yusheng; Li, Bo; Yang, Mao; Zuo, Xiaoya; Yan, Zhongjiang; Xue, Qingtian; With the rapid growth of the mobile devices and increasingly diverse mobile services, the traditional mobile networks can hardly keep up with these trends. This asks for the 5G network to support ultra-large traffic and guarantee supermassive connections. Recently, the millimeter wave (mmWave) backhaul network is supposed to be a promising technology to significantly improve the network capacity and efficiently connect massive end users to the Internet. However, most studies just study on the network architecture and the physical layer technologies of 5G mmWave backhaul network, and few of them focus on the MAC layer technologies that directly affect its key performance indicators (KPIs). In this paper, we propose a MAC protocol framework for 5G mmWave backhaul network including the wireless frame structure, signalling, uplink/downlink/backhaul resource allocation framework, and the beamforming training procedure. Moreover, we design and implement the integrated link-system level simulation platform. To the best of our knowledge, this is the first work to design the MAC protocol framework and the integrated link-system simulation platform for 5G mmWave backhaul network.
Session:
COM03-10, Paper No.2956
Title:
Cell Capacity for 5G Cellular Network with Inter-Beam Interference Xue Qingtian; Bo, Li; Zuo Xiaoya; Yan Zhongjiang; Yang Mao; The emerging 5G cellular networks will operate at millimeter wave (mmWave) frequency bands to enhance the cell capacity. Massive MIMO antenna array and beamforming technology are used in order to overcome propagation limitations of mmWave band. Multi-beam based communication system is considered as the basic structure for 5G mobile network. However, to optimize the cell capacity, the question of how many beams are required remains unclear. In this paper, considering 5G mmWave cellular system with massive MIMO and beamforming technologies, we accurately model the inter-beam interference and evaluate the cell capacity and outage probability of the system. The simulation results give the optimal number of beams to maximize the cell capacity. Our research provides a possible guidance for the design of 5G cellular system.
Authors: Abstract:
34
Session:
COM03-11, Paper No.2957
Title:
Outage Analysis for 5G Beamforming Heterogeneous Networks
Authors:
Yi, Xie; Bo, Li; Xiaoya, Zuo; Mao, Yang; Zhongjiang, Yan; Qingtian, Xue; With an explosion of wireless mobile devices and services, beam-based communication in 5G heterogeneous network (HetNet) has attracted extensive attention recently due to some potential technologies in 5G such as massive MIMO and millimeter wave. This paper proposes a outage probability analysis framework for 5G beamforming HetNet, which is composed of a multilayer cellular network including macrocells and small cells. The HetNet is affected by base station (BS)densities, transmission powers, beam gains, beamwidths, path loss exponents and cell association bias factors. We derive the association probability, average number of users in a layer and the PDF of the distance to the serving BS for the proposed beamforming HetNet. Then the SINR function is formulated. Moreover, we derive the outage probability of the network and use stochastic geometry to simulate the system performance.
Abstract:
Date:
August 7, Sunday, 0900-1230, Room AC2 2310
Session:
CPT01 General Computing Interest
Session:
CPT01-01, Paper No.2914
Title:
A new design and implementation of scientific workflow simulator
Authors:
Wang, Yunlan;
Abstract:
In this paper, a novel scientific workflow simulator is designed and implemented which is energy-aware and can simulate the scientific workflow that running on the multi-core cluster system. A method for application modeling is proposed which can describe the process dependence, data dependence and performance requirement of the workflow. A computing system model was also introduced to describe the layered structure of the cluster, the communication matrixes of the cluster nodes, and the energy consumption under different load level. Based on the application model and the computing systems model, the scientific workflow scheduling problem was abstracted to multi-objective optimization problem, a scheduling algorithm is presented which can satisfy the
Zhang, Bin;
Zhao, Tianhai; Gu, Jianhua;
35
performance constraints and is energy aware as while. The experiment results proved the effectiveness of the simulator. Session:
CPT01-02, Paper No.2990
Title:
Secure Biometric Image Retrieval in IoT-cloud
Authors:
Abduljabbar, Zaid Ameen; Jin, Hai; Ibrahim, Ayad; Hussien, Zaid Alaa; Hussain, Mohammed Abdulridha; Abbdal, Salah H.; Deqing Zou ithin the IoT-cloud, security has a very significant role to play. One of the best means to safeguard confidentially, security and privacy of a biometric image is through encryption. However, looking through encrypted data is a difficult process. A number of different techniques for searching encrypted data have been devised, but certain security solutions may not be used for smart devices within an IoT-cloud, and this is due to the fact that such solutions are not lightweight. In this paper, we present a lightweight scheme that provides the privacy-preserving biometric image search, which is a special case of content-based image retrieval (CBIR). A fusion of homomorphic encryption, cosine similarity and garbled circuit-based approaches are adopted in our scheme to achieve the best performance while simultaneously ensuring the privacy of the biometric image, and protection of any data access patterns and the user 抯 input query. We conduct several empirical analyses on real image collections to demonstrate the performance and security of our work.
Abstract:
Session:
CPT01-03, Paper No.2888
Title:
Geographical Topology-enabled IPv6 Addressing Framework for Connected Low Power Networks Li, Longjiang; Yang, Jianjun; Mao, Yuming;
Authors: Abstract:
The vision behind the Internet of Things (IoT) is that any things that need communications, are universally connected, and becoming an integral part of the future Internet. However, the existing of Low Power Networks (LPN) consisting of battery-powered nodes poses great challenge for traditional addressing and routing protocols. The paper proposes a geographical topology-enabled IPv6 addressing framework (gIPv6), which defines a geographical IPv6 adaption layer for enabling the interconnection between Lower power networks and the global IPv6 Internet at any access point. IPv6 addresses for 36
LPNs are generated based on the short format of geographical location information, so the proposed scheme can potentially extended IPv6 to various networking scenarios with energy restriction and resource limitations. Session:
CPT01-04, Paper No.2774
Title:
An Object Tracking Algorithm Combining Spatial Structure and Motion Continuity Hu Xiuhua; Guo Lei; Li Huihui;
Authors: Abstract:
To deal with the tracking drift problems caused by drastic object appearance change in complex scene, the paper proposes a robust tracking algorithm based on the sparse representation. It designs an optimized objective function with the spatial structure constraint. And then, with the Lagrange multiplier theory and accelerate proximal gradient approach, the coefficient of object template and candidate with the spatial information is obtained. In addition, the histogram intersection theory is exploited to computer the similarity between candidate and template. Finally, the template update scheme about when to manage updating and how to realize the strategy is presented, which combines the spatial structure information together with motion continuity and enables to tackle appearance change effectively. Experimental results on challenging benchmark datasets demonstrate that the novel algorithm performs favorable against several state-of-the-art methods.
Date:
August 7, Sunday, 0900-1230, Room AC2 2310
Session:
CPT02 Information and Data Security
Session:
CPT02-01, Paper No.2851
Title:
Image Quality Assessment Based on Structure Similarity
Authors:
Wu, Jun;
Abstract:
Image Structure Similarity (SSIM) and its extended versions have been successfully used in image quality assessment. In this paper, we propose a similarity metric to evaluate image quality by extracting image sparse structure from natural scene image. A sparse dictionary trained on the data contains the basic elements for representing sparse structures, and it is insensitive to different databases. The sparse structure similarity of testing image pairs is calculated with this dictionary. The final score of image quality is
Li, Huifang; Xia, Zhaoqiang;
37
obtained by counting the changed number of values in sparse structure vector between distorted image and reference image. Experiments demonstrate that the proposed method could assess image quality effectively and outperform existing SSIM based methods. Session:
CPT02-02, Paper No.2784
Title:
Secure and Efficient E-health Scheme Based on the Internet of Things Abduljabbar, Zaid Ameen; Jin, Hai; Ibrahim, Ayad; Hussien, Zaid Alaa; Hussain, Mohammed Abdulridha; Abbdal, Salah H.; Deqing Zou Internet of Things is a new generation of network service platform that allows everyday objects including small devices in sensor networks to be capable of connecting to the internet. Such an innovative technology can lead to positive changes in human life. An e-health service based on the Internet of Things has great potential. The popularity of intelligent mobile medical devices, wearable bio-medical sensor devices, cloud computing, and big data analysis have dramatically changed the usage pattern and business rule of e-health services based on the Internet of Things. The rapid development of e-health services based on the Internet of Things poses risks in security and privacy. In this study, we propose a new security scheme for an e-health service. This scheme allows both the local base station and hospital cloud server to authenticate each other, to secure the collection of health data. Our scheme uses the crypto hash function to check the integrity of authentication exchanges. In addition, it provides m tual authentication with anonymity and terminates with a session key agreement between each local base station and the hospital cloud server. To assess our scheme, we conduct performance and security analysis. Results show that our scheme is secure, lightweight, and resistant to different types of attacks.
Authors:
Abstract:
Session:
CPT02-03, Paper No.2897
Title:
Multiple scaling factors based Semi-Blind Watermarking of Grayscale Images using OS-ELM Neural Network Rajpal, Ankit; Mishra, Anurag; Bala, Rajni;
Authors: Abstract:
In this paper, a multiple scaling factor based SemiBlind watermarking scheme for grayscale image watermarking using Online Sequential Extreme Learning Machine (OS-ELM) is 38
proposed. Four-level DWT is applied on three standard test images of size 512 * 512 . LL4 sub-band coefficients are chosen for watermark embedding. OS-ELM is initially tuned with a fixed number of training data used in its initial phase and size of data block learned in each iteration. The training set is developed by combining the quantized and desired LL4 sub-band coefficients. This training set is fed to OS-ELM for training. The output of OS-ELM is a sequence of predicted coefficients which is sorted and divided into three equal parts. Multiple Scaling Factor (MSF) scheme is used for embedding a binary watermark in a Semi-Blind manner. Results show good visual quality of signed images and good similarity between the extracted and original watermarks from signed and attacked images. The PSNR and BER are found to be well optimized both in case of signed and attacked images. The time for embedding and extraction is in milliseconds, which makes the proposed technique effective for developing real time watermarking applications. Session:
CPT02-04, Paper No.2918
Title:
An Educational Model Based on Knowledge Discovery in Databases (KDD) to predict Learner's Behavior Using Classification Techniques Comendador, Benilda Eleonor V.; Rabago, Lorena W.; Tanguilig Iii, Bartolome T.; This paper examined the students?history of accessing the university Learning Management System (LMS) data. Classification techniques are used to build an educational model based on Knowledge Discovery in Databases (KDD) to predict learner's behavior. It identified the most valuable influencer for learning outcomes of the learners; it generated prediction models using the J48 decision tree algorithm and Multiple linear regression; and it determined how likely is a Distance Education (DE) learners to get a mark of "Passed"in a certain course which may offer vital information to the teachers and university administrators for program planning and learner support strategies. The proponents conducted experiments to predict the students?final rating based on their history of accessing the data in the university LMS. Based on the derived model, the score obtained from the participation in the online activities was the most valuable influencer for learning outcomes of the DE learners. Thus, the successful completion of the program depends on how the students interact with the activities posted in the LMS. As such, the
Authors: Abstract:
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generated model may be utilized to identify DE learners who need early intervention for better academic achievements and meaningful online learning environment. Session:
CPT02-05, Paper No.2700
Title:
An Android Behavior-Based Malware Detection Method using Machine Learning Chang Wei-Ling; Sun Hung-Min; Wu Wei;
Authors: Abstract:
In this paper, we propose An Android Behavior-Based Malware Detection Method using Machine Learning. We improve an Android application sandbox, Droidbox, by inserting a view-identi?cation automatic trigger program which can click mobile applications in the meaningful order. Taking advantage of Droidbox result, we collect the behavior such as network activities, ?le read/write and permission as the feature data and use different machine learning algorithms to classify malware and evaluate the performance. We use a large number of malware and normal application samples to prove that our method has high accuracy
Date:
August 7, Sunday, 1330-1500, Room AC2 2312
Session:
SPG02 Radar and Sonar Systems
Session:
SPG02-11, Paper No.2853
Title:
A method for moving target detection based on airborne multi-aspect SAR system Zhao Xin; Liao Xin; Ding Zegang; Gao Wenbin;
Authors: Abstract:
Conventional methods of moving target detection, such as DPCA, GMTI have difficulties in detecting low speed target and showing the movement route. Multi-aspect airborne SAR can illuminate the same scene from different directions to get all-round scattering features of scene. In this paper, a method of moving target detection based on multi-aspect SAR images is proposed. This method can extract the change part from multi-aspect images to estimate the velocity and show the movement route. There is geometric correction, image registration and change detection along the process. As the key part of the detection, an improved image registration method named WT-SIFT is proposed, which combines Wavelet Transform (WT) with Scale-Invariant Feature Transform(SIFT). Finally, the validity
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of this method of moving target detection is demonstrated by an airborne multi-aspect SAR experiment. Session:
SPG02-12, Paper No.2885
Title:
Parameters estimation based on moments and Nelder-Mead algorithm for compound-Gaussian clutter with inverse Gaussian texture Jian Xue; Shuwen Xu;
Authors: Abstract:
Parameters estimation is important for improving the detection performance of detectors. In this paper, we propose a novel estimation method for the parameters of compound-Gaussian distribution with inverse Gaussian texture. We obtain the moments estimation expressions of parameters of compound-Gaussian distribution with inverse Gaussian texture and set the estimation results of moments estimation method as the initial values of Nelder-Mead direct search method. Then, a nonlinear minimization problem about estimation parameters is designed and the estimation values of parameters are obtained via utilizing Nelder-Mead algorithm to solve it. The experimental results about estimation performance of the proposed method show the proposed method has high estimation accuracy and low computational complexity.
Session:
SPG02-13, Paper No.2919
Title:
FM-based multi-frequency passive radar system
Authors:
Zhang Chenqi;
Abstract:
Due to the obvious advantages in terms of aerial surveillance and anti-jamming, passive radar system (PRS) has been widely studied over the last years. However, a considerable part of the research on the PRS has been carried out in the laboratory environment and few practical results have been disclosed. In this paper, the design and implementation of an ongoing frequency modulated (FM)-based multi-frequency PRS, which can exploit up to eight carrier frequencies to detect, locate and track targets, is briefly introduced. For the considerations of the portability and the data extension, the whole system is developed based on commercial shelf products, thereby providing great convenience for the users and developers. Currently, the system can realize the real-time processing and data association of eight carrier frequency signals in the practical application rather than under the laboratory conditions. Furthermore, several experiments including simulations and
Wu Yong;
Wang Jun; Luo Zhen;
41
outfields have been conducted to evaluate the performance of the proposed system. Session:
SPG02-14, Paper No.2949
Title:
Weighted Knowledge-aided Space Time Adaptive Processing in Heterogeneous Environments Lin Xuefang; Wang Tong; Wu Jianxin; Wu Yifeng;
Authors: Abstract:
Since training samples are not always identically distributed with the clutter in the cell under test (CUT) in heterogeneous clutter environments, which lead to an inaccurate estimate of clutter covariance matrix (CCM), the performance of space time adaptive processing (STAP) degrade significantly. In order to improve the performance of STAP, we propose a robust weighted knowledge-aided (KA) STAP algorithm. Unlike the same weights used for sample covariance matrix estimation, the presented algorithm uses different weights on training samples for CCM, where the weights are developed based on the similarities between the a priori covariance matrix of the CUT and that of the training data. The algorithm is capable of measuring the effect of heterogeneous samples on CCM more properly, and then we obtain a covariance matrix which reflects the clutter property of CUT more accurately. As a result, the performance of weighted KASTAP is better than conventional STAP in clutter suppression. Experimental results using the real data verify the effectiveness of the proposed method.
Session:
SPG02-15, Paper No.2951
Title:
Improved Accuracy of Estimated Covariance Matrix With A Novel Approach Based on STAP Tao Fuyu; Wang Tong; Wu Jianxin; Li Bowen
Authors: Abstract:
The performance of space-time adaptive processing (STAP) will suffer severe degradation when the training data is contaminated by certain part of potential desired signal component, especially in the condition of the power of the target-like signal spills over the range gate due to the effect of the pulse-compression. To overcome this problem, a novel target-like signal reconstruction method depending on the estimation of the amplitude and phase of the target-like signal from the receiving signal containing clutter and noise components is proposed. Consequently a set of purer signals is achieved as the training samples to estimate the clutter and noise covariance matrix of the cell under test (CUT) and the terrible
42
target processing output of the conventional algorithm is modified, leading to a better performance of STAP. Theoretical analysis and simulation results proved the effectiveness of our suggested method. Index Terms—STAP, target-like signal, covariance matrix, heterogeneous environment, training samples. Session:
SPG02-16, Paper No.2874
Title:
Control of the Error Signals in Negative Correlation Learning
Authors:
Liu, Yong;
Abstract:
Negative correlation learning has been proposed to create a set of negatively correlated artificial neural networks (ANNs) in a committee machine. In negative correlation learning, the error signals for each ANN on a given data are not only decided by the error differences between the output of ANN and the targets. Two terms are optimized at the same time. The first one is to minimize the error between the output of each ANN and the target output on the given data. The other one is to maximize the difference between the output of the ensemble and the output of each ANN on the given data. From the point of view on the bias-variance-covariance trade-off, the minimization of the first term would decrease the bias while the maximization of the second term would reduce the sum of bias and variance. In order to balance well among bias, variance and covariance, error signals in learning should be well adjusted. On one hand, when the learning would force itself to be closer to the ensemble, an individual ANN would choose to learn less so that the learning on that direction would be disencouraged. On the other hand, when the learning would help itself to be more different to the ensemble, an individual ANN would let itself to learn more so that the learning on that direction would be encouraged. A new version of negative correlation learning based on such error signal adjustment have been implemented in this paper. Experimental results were carried out to show how the error signal adjustment would help to achieve the better generalization.
Session:
SPG03-01, Paper No.2708
Title: Authors:
A Robust Adaptive Beamformer Based on Desired Signal Covariance Matrix Estimation Li Wenjing; Zhang Yuping; Chen Qiang; Jin Cheng
Abstract:
In order to remove desired signal component from the sample 43
covariance matrix, a novel robust adaptive beamformer is proposed based on desired signal covariance matrix estimation. The desired signal direction is first calculated based on the first-order Taylor series approximation, and then the desired signal’s steering vector and power are estimated by using iterative robust minimum variance beamforming, respectively. After above two processing, the desired signal covariance matrix can be estimated. Furthermore, the interference-plus-noise covariance matrix can be reconstructed by subtracting the desired signal covariance matrix from the sample covariance matrix. Finally, simulation results demonstrate that the proposed algorithm is robust against steering vector mismatches resulted from gain and phase perturbation as compared to other beamformers. Session:
SPG03-02, Paper No.2737
Title:
Micro-Doppler Extraction from Scatterer Phase in ISAR Image
Authors:
Zhang Chaojie; Li Feng; Gao Jing; Yang Mingyuan; Long Teng; Translation trajectory is approximated by Chebyshev polynomial to improve approximation accuracy under low signal-to-noise ratio. The parameters in the polynomial are estimated by matching pursuit (MP). The operation of translation parameters estimation is performed in frequency domain before pulse compression. After compensation of translation and rotation, micro-Doppler is extracted from the result of motion compensation based on vibration model. Simulation and experiment data are used to testify our method.
Abstract:
Session:
SPG03-03, Paper No.2739
Title:
ISAR Motion Compensation Based on Matching Pursuit with Chebyshev Polynomials under Low SNR Gao Jing; Li Feng; Wang Chao; Long Teng;
Authors: Abstract:
Targets of inverse synthetic aperture radar (ISAR) are non-cooperate and the motion compensation should be performed first. This paper proposes a method for ISAR motion compensation. In range-frequency domain, the motion of imaging target can be modeled as Chebyshev-polynomial phase function that is an orthogonal polynomial and has more approximation accuracy than Taylor polynomial. With pulse compression, the data are transformed into range frequency domain. The parameters in polynomial are estimated by matching pursuit (MP). Different from
44
general treatments, simulated annealing algorithm is introduced into MP. And parameters are estimated in continuous field. The algorithm estimates the motion parameters before range compression and avoids the loss of pulse compression. Simulations testify that the proposed method work better under low SNR than methods based on entropy minimization or contrast maximization. Stepped-frequency waveforms with phase coding in subpulses are used in our experimental system. Wide-band signals are synthesized by narrow-band subpulses, which could obtain high-resolution range resolution. To acquire the similar cross-range resolution, more coherent integration interval is needed. Imaging experiments that testify our method also perform well in this case. Session:
SPG03-04, Paper No.2821
Title:
A High-gain, Third-order Analogue Signal Processing ASIC for DC-coupled CdZnTe Detectors Wang, Jia; Su, Lin; Wei, Tingcun; Zheng, Ran; Wei, Xiaomin; Hu, Yann; In order to read out the signal of CdZnTe detectors, this paper presents a high-gain, third-order analogue signal processing application specific integrated circuit (ASIC). The charge generated in detectors can be amplified and shaped by this circuit. Dual-stage charge sensitive amplifier and baseline holder are utilized to compensate the leakage current from DC-coupled detectors. A novel shaper is proposed to improve the output amplitude and achieve high gain. A high-order shaper in our previous work is also presented for comparison. The proposed ASIC has been designed and verified in a standard commercial 2P4M 0.35μm CMOS process. The die area of one channel is 975 μm × 142 μm. The gain is 185 mV/fC at the peaking time of 1 μs. The peaking time can be adjusted from 1 μs to 3 μs. The maximum leakage current of 5 nA can be compensated.
Authors: Abstract:
Session:
SPG03-05, Paper No.2834
Title:
Fast MUSIC algorithm for joint DOD-DOA estimation based on Gibbs Sampling in MIMO Array Shi Wentao; He Chengbing; Huang Jianguo; Zhang Qunfei;
Authors: Abstract:
Multiple signal classification (MUSIC) algorithm has been used for joint Direction of Departure (DOD) and Direction of Arrival (DOA) estimation in Multiple Input Multiple Output (MIMO) array. It has shown excellent angle estimation performance. 45
However, the two dimensional angle peaks searching of MIMO MUSIC algorithm renders high computational complexity. In order to resolve this problem, a fast MIMO MUSIC algorithm for joint DOD-DOA Estimation based on Gibbs Sampling is proposed. The proposed algorithm combines Markov Monte Carlo method with MIMO MUSIC estimator. Firstly, the power of the MIMO MUSIC spectrum function is regarded as the target distribution up to a constant scalar, then the Gibbs sampler sample from the scalar, and the joint DOD-DOA estimation can be achieved from the linger position. Simulation results show that the proposed method not only keeps the similar DOA estimation performance which is achieved by the MIMO MUSIC algorithm, but also reduces the computational complexity. Date:
August 7, Sunday, 1330-1700, Room AC2 2513
Session:
SPX2- Fractional Signal Processing
Session:
SPX2-01, Paper No.2893
Title:
Discrete Windowed Linear Canonical Transform
Authors:
Zhang Qingyue;
Abstract:
In this paper, we study discrete windowed linear canonical transform. we first provide several necessary conditions for discrete windowed linear canonical transform being a frame. Then we give a sufficient condition for discrete windowed linear canonical transform being a frame. Finally, we derive a necessary and sufficient condition for discrete windowed linear canonical transform being a Riesz basis.
Session:
SPX2-02, Paper No.2907
Title:
A Multi-focus Image Fusion Method Based on Linear Canonical Transform Xie Yan-An; Guo Yong; Li Bing-Zhao;
Authors: Abstract:
In this paper, the self-linear canonical functions (SLCFs) based on linear canonical transform (LCT) are discussed and proposed. We found that the SLCFs can be used to decompose an image into M complex images. Based on this property, a novel multi-focus image fusion method is proposed in this paper. The simulations are carried out to show the importance of parameters in application of the SLCFs decomposition. According to the simulation results, the 46
proposed fusion method with appropriate parameters can improve the quality of fused images. Session:
SPX2-03, Paper No.2920
Title:
A Low-complexity design of OFDM modulation based on ZFFT
Authors:
Wang, Wei;
Abstract:
Underwater acoustic communications based on Orthogonal Frequency Division Multiplexing (OFDM) are realized usually in high frequency for high communication rate, and the channel and hardware conditions make our communication band is limited. Conventional modulation of these OFDM scenarios are FFT, it will face the problem of oversize FFT number and large computation complexity in the conditions of band-limited and high frequency. ZFFT (Zoom-FFT) is one method of spectrum zoom technique, which decreases the computation complexity and FFT number. In this paper, we proposed an OFDM modulation scheme based on ZFFT, and the simulations show that this scheme has lesser computation complexity and FFT number. The trial results of DaLian16, which is in March, 2016 show that ZFFT-OFDM has the good performance with very low bit-error-rate (BER) on the range of 1km.
Session:
SPX2-04, Paper No.2926
Title:
The Fast Algorithm for Two-sided Correlation Transformation Based on Propagator Method Ren Xiaohuan; Feng Haihong;
Authors: Abstract:
Guo, Longxiang;
Yin, Jingwei; Sheng, Xueli;
In order to reduce the computational burden of the algorithm for two-sided correlation transformation, this paper proposes a fast algorithm based on the orthogonal propagator. Compared with the two-sided correlation transformation algorithm, the new method uses the propagation operator instead of the eigenvalue decomposition to estimate the feature vector of the noise subspace. There is no need to build the focusing matrix, therefore the computation complexity is significantly reduced for wide-band processing. Furthermore, theoretical analysis shows that there is no loss in the estimation performance since it implicitly concentrates the energy of each frequency bin in the process of solving the coherent process. The simulation results verify the benefit of the new method under the white Gaussian noise assumption. 47
Session:
SPX2-05, Paper No.2965
Title:
Fractional Fourier transform estimation of simple randomly sampled signals Xu, Liyun; Zhang, Feng;
Authors: Abstract:
Random sampling as a special kind of nonuniform sampling has been used as a digital alias-free signal processing method in analog-to-digital conversion. This paper presents the fractional Fourier transform estimation of nonstationary signals based on the simple random sampling. The spectrum estimation is proved to be unbiased. The variance of it is calculated to show the estimation effect. The effects of sampling jitters and observation errors on performance of the fractional spectrum estimation are analyzed. Among them, the sampling jitters introduce bias to the estimation. The bias can be compensated by the new defined fractional characteristic function. All of the analysis results are simulated and verified in the last numerical experiments. Index Terms—Fractional Fourier transform, random sampling, spectrum estimation, sampling jitters, statistical analysis.
Session:
SPX2-06, Paper No.2983
Title:
Specific Emitter Identification based on Nonlinear Complexity of Signal Xie Yang; Wang Shilian; Zhang Eryang; Zhao Zilu
Authors: Abstract:
Specific Emitter Identification (SEI) is to identify the emitters with various RF fingerprints, originated from the nonlinearity of the emitter power amplifiers. This paper firstly develops an improved Approximate Entropy (imApEn) algorithm, by modifying the tolerance interval of Approximate Entropy (ApEn), to extract the nonlinear complexity of the signals as a new steady-state RF fingerprint. Then a novel identification algorithm is proposed based on the combination of the EMD and the imApEn, which utilizes some independent RF fingerprints to form multi-dimensional feature space and then the emitter classification is performed by the support vector machine. Additionally, the noise immunity and robustness of the imApEn are evaluated via Logistic map with different parameters. Computer simulations are conducted under additive white Gaussian noise as well as impulsive noise and the results demonstrate that the proposed algorithm significantly outperforms the energy-entropy algorithm and correlation algorithm based on the Hilbert-Huang Transform. 48
Session:
SPX2-07, Paper No.2991
Title:
Detection and extraction of marine target with micromotion via short-time fraction Fourier transform in sparse domain Chen Xiaolong; Guan Jian; Yu Xiaohan; Zhang Jian
Authors: Abstract:
The micro-Doppler (m-D) signatures can describe the refined motion characteristics of a marine target, which are helpful for target detection and recognition. Due to the complex sea clutter and m-D of marine target, traditional detection methods using time-frequency analysis have great limitations on accuracy and computational cost. In this paper, the micromotion signal model of sea surface target is firstly established according to the length of observation time. Then a novel detection and m-D extraction method is established via sparse time-frequency analysis, i.e., short-time fractional Fourier transform in sparse domain (SSTFRFT). The definition and calculation are described in detail. Finally, experimental results using real radar data, i.e., S-band searching radar (SSR) data , indicate that the proposed method can achieve excellent detection performance and lower computational cost with higher accuracy compared with the traditional methods.
Session:
SPX2-08, Paper No.2994
Title:
Novel Method of Estimating Instantaneous Frequency Based on the STFrFT Deng Bing; Hei Hong-Wu; Zhang Yun; Su Feng;
Authors: Abstract:
Instantaneous frequency estimation plays an essential role in such applications as target detection, emitter recognition and so on. In order to promote Instantaneous Frequency estimation precision based on the Short-Time Fractional Fourier Transform in low SNR, the peak tracking technology with Hidden Markov Model is used. After the Hidden Markov Model is established for the Short-Time Fractional Fourier Transform of the signal, the optimal path of frequency shift can be found by observing the energy spectrum of signal’s Short-Time Fractional Fourier Transform. Thus, the estimation error of instantaneous Frequency can be revised further. The simulation shows that the proposed method can achieve higher precision.
Session:
SPX2-09, Paper No.3004
Title:
Joint Time-Frequency Offset Detections Using the Linear Canonical Transform 49
Authors:
Zhang Yan-Na;
Abstract:
In this paper, a method to detect joint time-frequency offset is proposed based on the linear canonical transform. According to the fundamental properties of this transform, a parametric correlation is introduced, which can be regarded as the generalization of methods based on correlation and other transforms. Besides, its maximum can be identified with a line structure in the time-frequency plane. With the advantage of parameters' freedom in the linear canonical transform, some lines containing the time delay and frequency offset in the measured signals can be intersected in the time-frequency plane. And the intersected point is exactly joint time-frequency offset needed to detect out. The theoretical and practical aspects of this detection method are discussed in the paper.
Session:
SPX2-10, Paper No.2941
Title:
An improved compressed sensing reconstruction algorithm used in sparse channel estimation Su, Wei; Huang, Haoqian; Xia-Lin Jiang
Authors:
Li Bing-Zhao;
Abstract:
Compressed sensing is a new method of data acquisition and processing, which can accurately restore the original data from a few observation samples. In this paper, based on this theoretical framework, the compressed sensing reconstruction algorithm named Discrete Fourier transform Matching Pursuit algorithm (DFT-MP) were proposed for sparse channel estimation. It is suitable for sparse underwater acoustic channels. We analyzed and compared our proposed algorithm with other signal reconstruction algorithms, such as Matching Pursuit algorithm (MP), Orthogonal Matching Pursuit algorithm (OMP), and Sparse Bayesian Learning algorithm (SBL). From the simulation results, the Discrete Fourier transform Matching Pursuit algorithm outperforms other algorithms which we mentioned above.
Date:
August 7, Sunday, 1330-1500, Room AC2 2306
Session:
COM03 Wireless Communications and Networks
Session:
COM03-12, Paper No.2962
Title:
Antenna Selection with User Scheduling in Traffic-Aware Cellular Two-Way Relay Networks 50
Authors:
Shukla, Mahendra K.; Yadav, Suneel;
Abstract:
We investigate the outage performance of a cellular multiuser two-way relaying networks (TWRNs), where a multiantenna base station (BS) communicates with one of the several single-antenna mobile stations (MSs) via a single-antenna relay terminal. We employ antenna selection at BS coupled with MS selection to maximize the end-to-end signal-to-noise ratio (SNR). In view of asymmetric traffic requirements at the end terminals, we derive the tight closed-form overall outage probability (OOP) expression of the considered system under Rayleigh fading. We also derive an asymptotic outage behavior in high SNR regime to reveal the impact of asymmetric traffic and system parameters on the achievable diversity order. Moreover, we formulate an optimization problem of relay location to minimize the OOP of the considered system. Numerical and simulation results corroborate our theoretical analysis and findings, and also demonstrate that the optimal relay location has a significant impact on the OOP performance under asymmetric traffic demands.
Session:
COM03-13, Paper No.2967
Title:
The precoder design with covariance feedback for information and energy transmission systems Zhou Wen; Deng Dan; Shao Ziyun;
Authors:
Purohit, Neetesh;
Abstract:
For the multi-input multi-output (MIMO) information and energy transmission system, the precoder design with only channel statistical information—channel covariance feedback is considered. Based on such a criterion in which the system information rate is maximized meanwhile satisfying the minimum energy requirement, the precoder design problem is formulated as a semi-definite programming (SDP), and further transformed to a dual problem. We propose a decent algorithm to solve this problem and demonstrate its convergence by computer simulations. Besides, the trade-off between the information and energy transmission, known as the boundary of the rate-energy (R-E) region, is also presented. Compared with the isotropic transmission, the R-E region with the proposed precoder is much broader.
Session:
COM03-14, Paper No.2977
Title:
An Improved TDMA Access Protocol in LEO Satellite Communication System 51
Authors:
Luan Peng;
Abstract:
In the buoy satellite communications system based on LEO satellite access, to improve channel utilization under different traffic load situation, a novel competitive access protocol named FC-TDMA (Fixed Competitive TDMA) is proposed in this paper. The protocol takes advantage of both TDMA and S-ALOHA, allocates unique user ID for every node, and adjusts transmission rate according to network load, so that the number of slots in a super frame is changed. Subsequently, nodes preempt channel in specific slot, the network can gain the largest channel utilization. The article verifies the performance of the improved protocol with OPNET platform, the results show that FC-TDMA has higher channel utilization than S-ALOHA and TDMA under any traffic load situation.
Session:
COM03-15, Paper No.2986
Title:
A Miniaturized Frequency Synthesizer System Design Based on ADF4350 Cao Hui; Qu Yu;
Authors:
Zhu Jiang; Gao Kai;
Abstract:
A small sized, light weighted receiver local oscillator based on integrated PLL chip ADF4350 was designed to fit into airborne equipment of UAV datalink. Integrated with a phase detector and a voltage controlled oscillator, the phase-locked loop (PLL) frequency synthesizer was implemented by using an external loop filter, reference frequency and control circuit to meet the technical and size requirements. Experiments demonstrated the stability and reliability of the local oscillator and proved its value on practical application.
Session:
COM03-16, Paper No.3003
Title:
The Neighbor Channel Sensing Capability for Wireless Networks
Authors:
Qu Qiao; Li Bo; Yang Mao; Yan Zhongjiang; Zuo Xiaoya; Zhang Yongping; In wireless networks, the capability of sensing the received power variation on wireless channel is named as channel sensing capability (CSC). However, as wireless networks become increasingly dense, it decreases the reliability of multiuser transmission if only CSC is simply used for indicating channel state. Thus, in this paper, a novel conception named as neighbor channel sensing capability (NCSC) is proposed to describe the capability of nodes for sensing the channel state of their neighbor
Abstract:
52
nodes. We prove that the consistency of NCSC, defined as the variable of the difference of the received power of two neighboring nodes, obeys a Gaussian distribution when the location of all transmitting nodes obeys a homogeneous Poisson point process. Moreover, we derive the mean and variance of the consistency of NCSC, and give the expression of NCSC to accurately describe the capability of sensing the channel state of neighbor nodes. The simulation results show that NCSC can efficiently indicate and validate our analysis model and derivation. Date:
August 7, Sunday, 1530-1700, Room AC2 2306
Session:
SPX2- Fractional Signal Processing
Session:
SPX2-11, Paper No.3005
Title:
A Processing Scheme for Long Integration Time Passive Radar based on CZT and FRFD-Sharpness Bai Xia; Feng Yuan; Zhao Juan;
Authors: Abstract:
In this paper a problem of extending integration time in passive radar is addressed. To compensate range and Doppler walk, a processing scheme based on chirp-z transform (CZT) and fractional Fourier transform domain (FRFD)-sharpness is proposed: (1) divide the signal into snapshots; (2) perform Fourier transform (FT) and matched filtering on each snapshot; (3) perform CZT across the snapshots; (4) perform inverse FT (IFT) on each snapshot; (5) perform IFT and fractional Fourier transform (FRFT) across the snapshots; (6) obtain the final radar image of moving targets by sharpness metrics. Experiment result by using DTV-based passive radar data has shown that the processing scheme can effectively mitigate range and Doppler walk, and it allows meaningful increases to the integration time.
Session:
SPX2-12, Paper No.3006
Title:
Time-Delay Estimation with Noise Suppression for LFM Signals Using Fractional Wavelet Transform Shi Jun; Liu Xiaoping; Deng Yiqiu; Han Mo; Zhang Naitong; The linear frequency modulated (LFM) signal is commonly used in radar, sonar and communications. In some applications, time-delay estimation of LFM signals plays an important role. In this paper, an efficient algorithm for time-delay estimation of LFM signals based
Authors: Abstract:
53
on the fractional wavelet transform (FRWT) is presented. The algorithm is implemented by the FRWT denoising and the delay property of the fractional Fourier transform. The validity of the proposed algorithm is demonstrated via simulations. Session:
SPX2-13, Paper No.3007
Title:
Theory and methods for Sampling in Fractional Domains
Authors:
Tao Ran; Miao Hongxia; Ma Jinming;
Abstract:
The fractional Fourier transform (FRFT) and linear canonical transform (LCT) have been shown to be one of powerful tools in signal processing community. While sampling is a fundamental and core topic in the field of signal processing. The research of sampling theory and methods in FRFT and LCT domains received much interests in recent years. In this paper, we review the developments and research trends of sampling theories and methods associate with FRFT and LCT.
Session:
SPX2-14, Paper No.3008
Title:
Chirp images in 2-D fractional Fourier transform domain
Authors:
Lu Ming-Feng;
Abstract:
Chirp signals are very common in radar, communication, sonar, and etc. Little is known about chirp images, i.e., 2-D chirp signals. In fact, such images frequently appear in optics and medical science. Newton’s rings fringe pattern is a classical example of the images, which is widely used in optical metrology. It is known that the fractional Fourier transform (FRFT) is a convenient method for processing chirp signals. Furthermore, it can be extended to 2-D fractional Fourier transform for processing 2-D chirp signals. It is interesting to observe the chirp images in the 2-D fractional Fourier transform domain and extract some physical parameters hidden in the images. Besides that, in the FRFT domain, it is easy to separate the 2-D chirp signal from other signals to obtain the desired image.
Session:
SPX2-15, Paper No.3009
Title:
The Scattering Analysis of Elastic Wave Propagation Control Based on Fractional Fourier Transform Lu Xiangyang; Guo Qiang; Wang Fengge; Guo Yanqing;
Authors: Abstract:
Wu Jin-Min;
Zhang Feng;
Tao Ran;
Due to the approximate design method itself, and the impedance matching material parameters, and requirements of dielectric 54
materials are kept intact, etc, the scattering effect is produced when the elastic wave spread in the design of material with the transformation method. The result of design focuser homogeneous elastic wave approximation is as the research object, fractional Fourier transform (FRFT) is presented to anal size the scattering effect, this method is the sensitivity of the frequency change. This analysis could intuitively, quantitatively reflect the frequency variation that caused by scattering effect, and reduce the blindness of the cognition of the degree of scattering, and provide the basis for the design the material medium parameters simplify. Date:
August 7, Sunday, 1330-1700, Room AC2 2310
Session:
CPT03 Embedded System Design
Session:
CPT03-01, Paper No.2723
Title:
Development and Test Evaluation of Full Authority Digital Electronic Control System for Auxiliary Power Unit Based on Electronic Pump Peng Kai; Fan Ding; Yang Fan; He Miaokang; Wang Ying; Shi Feiyun; A full authority digital electronic control system (FADEC) is developed for a certain helicopter auxiliary power unit with the hydro-mechanical control system, key techniques of which such as system construction, control schedules, fuel system based on electronic pump are designed and implemented in detail. Functions and performances of the FADEC system are evaluated by ground run test, and the results show the functions of the control system are enhanced and the performances of APU are improved remarkably under the control of the resultant FADEC compared with the original hydro-mechanical control system.
Authors: Abstract:
Session:
CPT03-02, Paper No.2763
Title:
Remote Communication Interface of Embedded System Based on 10Gigabit Ethernet Wang Fei; Hu Shanqing; Li Xingming; Wang Jie;
Authors: Abstract:
The embedded high-speed and real-time signal processing systems are used widely in communication, navigation, sensing, measurement and control, etc. However, a high-bandwidth and high-flexibility remote communication interface is important when it comes to scenarios such as the mass data exchange between 55
industrial computers and embedded systems. The 10Gigabit Ethernet (10GE) has been widely used as high-speed data transmission channel within/between systems in both embedded systems and industrial computer fields, because of its high transmission speed, low power consumption, reliable stability and good compatibility and other aspects of performance. In this paper, we designed a high-bandwidth remote communication interface between industrial computers and the core processors of the embedded signal processing system by adopting 10GE. As is verified by the experiments, the effective read/write bandwidth of the interface can reach up to 4216Mbps /6640Mbps, and it can support functions such as remote control, data interaction, program loading and remote debugging. Moreover, the paper provides promising references for the interactive communication among different kinds of systems and the flexible networking of embedded systems. Index Terms—Embedded systems, 10Gigabit Ethernet, remote communications, high-speed and real-time signal processing. Session:
CPT03-03, Paper No.2777
Title:
Development and Implementation of EBGR Routing Protocol in Cropland Based on IRIS Platform Li, Siyu; Gao, Hongju; Wu, Dan; Li, Li;
Authors: Abstract:
For wireless sensor networks in wide-area cropland environments, the routing protocol would be optimal if it is scalable for wide network coverage, energy-efficient for long network lifetime, and adaptive with frequent topology changes. In this paper, a wireless sensor network system with EBGR (Energy-Balanced, Greedy forwarding Routing) protocol was developed based on Memsic IRIS nodes and TinyOS operating system, and then implemented in cropland for producing area monitoring. EBGR is proposed based on the geographical routing protocols to achieve the balanced energy consumption of routing paths while maintaining good efficiency and scalability for a hierarchical wireless sensor network. It uses remaining hop counts instead of Euclidean distance in traditional greedy forwarding mechanism, combing with the residual energy levels of nodes, to establish the path between the origin node and the sink node. This network has been operated for over two years, and can be flexibly reorganized and scalable to ensure the data acquisition and transmission. One-time network deployment can last long enough to support the full growth period of corn or wheat. Hence, EBGR protocol proposed can be well
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suitable for and applicable to cropland scenarios. Session:
CPT03-04, Paper No.2812
Title:
An Embedded Signal Transmitter for UAC Based on H-bridge Class-D Power Amplifier Zhang Yang; Lei Kaizhuo; Zhang Qunfei; He Dengfeng; Fan Xuchao; The signal transmitter for underwater acoustic communication (UAC) is a core component of underwater acoustic equipment. To satisfy the demand of underwater acoustic transmitter for small size and high source level, an embedded power amplifier based on H-bridge topology and an independent matching network are designed and implemented. The integrative performance is tested by water pool experiment, and the feasibility and advancement are verified. The test result shows that the prototype can reach the aim of 184.25dB to 187.19dB emission source level and 19% of average total electro-acoustic conversion efficiency within the frequency range of 8~16kHz, which can meet the needs of shipboard and embedded request at 180×120×70 (mm)3 volume.
Authors: Abstract:
Session:
CPT03-05, Paper No.2906
Title:
A high-precision online monitoring system for power battery
Authors:
Tang, Lijun; He, Zhiwei; Su, Kaiyu; Gao, Mingyu; Liu, Yuanyuan; Zhu, Hongjuan; Battery management system has a very extensive application field. This paper introduces an online system which is available for monitoring electric current, voltage and temperature of power battery group simultaneously. This system adopts the microcontroller and PC as the main controllers, collects the information like voltage, current and temperature of the battery with battery information collection box, and then carries on highly effective analysis of battery parameters by transmitting data to PC through WIFI. In practice it has proved that this system can accurately measure, record and transmit physical parameters such as battery voltage, current and so on, in order to detect and estimate battery status as well as divide batteries into group.
Abstract:
Session:
CPT03-06, Paper No.2928
Title:
The Design of Watt-hour Meter Verification Assembly Line Based on CAN Bus and Ethernet 57
Authors:
Hong Ming;
Abstract:
This paper analyzes the current situation of watt-hour meter verification and proposes a design scheme of watt-hour meter verification line based on CAN bus and Ethernet. The verification line adopts modular design and the whole line is made up of three necessary verification links, namely withstand voltage verification，initial verification and repeat verification，achieving automatic connecting and disconnecting, automatic verification. A computer, the assembly line central control terminal，monitors the whole processes dynamically. Actual test results show the line’s three links work orderly to make the verification process automatic and effective.
Session:
CPT03-07, Paper No.2972
Title:
Security Protocol for Controller Area Network Using ECANDC Compression Algorithm Wu Yujing; Chung Jin-Gyun; Yong-En Kim; Yeon-Jin Kim; Zheyan Piao Controller area network (CAN) is the most extensively used embedded network protocol in vehicles. However, CAN is vulnerable to malicious security attacks as it enables unauthorized access in a relatively straightforward manner. In the last ten years, security attacks in vehicles have been increasing and reported in several documents. In this paper, we propose a security protocol for CAN system based on AES-128 encryption and HMAC function. In addition, by combining with CAN data compression algorithm, it is shown that the efficiency of the proposed algorithm can be significantly increased. We simulate the proposed security protocol using the CANoe software. The CAN bus load is measured using CANcaseXL device. Experimental results show that the average message delay with 20 ECUs is within 0.13ms and the bus load can be reduced by 18.41% using the proposed security protocol compared with the uncompressed message. Our results indicate that the proposed security protocol is suitable for use in real-time in-vehicle system.
Authors: Abstract:
Qin Hao; Gao Mingyu;
Zeng Yu;
Session:
CPT03-08, Paper No.2771
Title:
Applying Express-Queue-Based Approach to Software Reliability and Cost Analysis Chang Shu-Cheng; Huang Chin-Yu; Lin Jhih-Sin;
Authors:
58
Abstract:
It is widely recognized that software development is usually highly unpredictable and software quality may not be easily enhanced for the finished software product. During the software development life cycle, fault correction is typically costly and time-consuming. Thus the measurement and assessment of the various fault correction processes would be very important for the engineers and project managers. In the past, the queueing theory has been used to depict the software testing and debugging processes. Considering the needed time of fault correction, some infinite server queueing (ISQ) models are proposed to measure and analyze the software project. But some researches has also considered the limited number of debuggers and presented the finite server queueing (FSQ) models. However, these previous works focused only on the debugging time lag and the number of servers. If all detected faults can be classified in advance, the fault(s) can be assigned to specific (or responsible) developers to obtain better service. The aim of this paper is to apply the express-queueing theoretic approach for reducing the mean resolution time of detected faults and to support the management activities of the software project, such as staffing, cost, utilization, etc. The fault correction process will be modeled by the queueing theory, and the detected faults will also be classified and dispatched into either express queue or regular queue. Experimental results show that the overall performance and efficiency of software debugging process can be improved while using our proposed approach.
Session:
CPT03-09, Paper No.2841
Title:
A ternary polarity conversion technique for fixed polarity Reed-Muller expansions Yu, Haizhen; Wang, Pengjun; Zhang Yuejun;
Authors: Abstract:
the paper describes a method for combinational logical synthesis using a ternary polarity conversion technique (TPCT) and the Reed-Muller form over GF(3). A new algorithm is presented that allows us to obtain the ternary fixed polarity Reed-Muller (FPRM) expansion. The popular polarity conversion over GF(3) is obtained by the coefficient matrix technology. This paper presents a non-matrix operation method for FPRM expansion. The new method allows us to build the FPRM form based on the calculation of FPRM coefficients, and then an exhaustive-search optimization algorithm based on Gray Code is developed to find the optimum ternary FPRM expansion. We use the method in the reported paper to generate ternary test functions from the MCNC benchmarks
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circuits. The algorithm is tested on fifteen functions and the experimental results are shown in this paper. Date:
August 8, Monday, 0900-1030, Room AC2 2312
Session:
SPG03 Sensor Array and Multi-channel SP
Session:
SPG03-06, Paper No.2845
Title:
Research of measurement for acoustic array radiation impedance based on curve fitting Li Daojiang; Teng Duo; Yang Hu
Authors: Abstract:
Mutual radiation impedance attracts more and more attention in acoustic array research as inherent acoustic characteristic. For the measurement of the mutual radiation impedance, the curve fitting method is proposed based on the analysis of the relationship between the ideal and the practical directivity patterns. Simulation and experiments were carried out to validate the practicability of the method. The results show that radiation impedance can be measured quickly and accurately by the proposed method.
Session:
SPG03-07, Paper No.2849
Title:
Design of a Front-end Signal Processing Circuitry for Capacitive Multi-touch Screens Wei Xiaomin; Li Bo; Wei Tingcun; Wang Jia; Zheng Ran;
Authors: Abstract:
Capacitive Multi-touch Screens are attractive for smart phone, tablet PC, industrial monitors, 3D or 4D visualization interactions, commercial office and so on. With the increasing size of the touch screen, a touch prediction and window sensing (TPWS) strategy was proposed for reducing the system costs and power consumptions. However, the traditional front-end signal processing circuits with charge integrating are not proper for the TPWS strategy. This paper presents a new front-end signal processing circuits dedicated for the TPWS touch screen systems. A charge to digital converter (CDC) is designed to realize the functions of charge integrating circuits and analog to digital converter (ADC) in the traditional touch screen system for the capacitance measurement. Combining differential input sensing and single input sensing, both the capacitance of an intersection and the shunt capacitance of the intersections on one electrode，that is required for the TPWS system， can be measured with the proposed circuits. 60
The design was realized in a 0.13 μm 1.8 V/5 V CMOS process. The area of the prototype chip is 0.087 mm2 per sensing channel. The tests were performed with a 15-inch touch panel. The total power consumption of the system is only about 65 mW with power supply of 5 V, and the reporting rate of the system achieves 500 Hz for none touch and 83 Hz for 10 touches. The proposed circuits satisfy the requirements of the TPWS touch screen systems, and can be also used for the other capacitive touch screen systems. Session:
SPG03-08, Paper No.2872
Title:
Doubly Weighted Average Algorithm for DOA Estimation on UCA with Array Failure Shi, Guixin; Yan, Shefeng; Wu, Yongqing; Wei, Mingyang;
Authors: Abstract:
Failed elements will destroy the array performance, therefore methods to compensate for array element failures are important. Generally, there are two different lines to address this problem, reconstructing missing array element signals and reoptimize the weights of the remaining array elements according to a desired performance criterion. In this paper, a novel way termed Doubly Weighted Average (DWA) algorithm, which combines Weighted Average of Uniform Arc Arrays (WAUAA) algorithm and Non-uniform Circle Array (NCA) algorithm, is proposed for DOA estimation on Uniform Circle Array (UCA) with array failures. The theoretical derivation of its property is presented. This method is able to provide smaller Root Mean Square Error (RMSE) than NCA and even perfect UCA method. Simulation results show that DWA algorithm can substantially improve the DOA estimation performance. The RMSE of DWA is at least 1.5dB less than WAUAA, which confirms the theoretical derivation. Especially with a small number of snapshots or a low source SNR, the proposed method provides more accurate estimates than the other compared methods. Furthermore, the DWA method can be used for multiple source and two-dimensional DOA estimation, and be expanded on the Uniform Linear Array (ULA).
Session:
SPG03-09, Paper No.2875
Title:
Sound Field Holographic Reconstruction System Based on Nearfield Acoustic Holography Qi Qian; Chen Hang; Zhou Biao; Jinxiang Du; Hu Yang
Authors: Abstract:
Holographic reconstruction is an inversion method with which the sound radiation characteristics of the sound source can be
61
reconstructed by using nearfield acoustic holography. In this paper, the sound field holographic reconstruction method is researched based on the sound field reconstruction model of nearfield acoustic holography. Using MATLAB and LabVIEW virtual instrument software platform, an integrated sound field holographic reconstruction system is designed and implemented. The functions include sensor array calibration, acoustic signal acquisition and processing, sound field reconstruction, and results visualization. The performance of the presented system was tested by experiments in an anechoic chamber by using a sound box to simulate the sound sources. The experimental results show that the sound field holographic reconstruction system has high location accuracy. Moreover, the effectiveness and practicability of the sound field holographic reconstruction method is verified. Session:
SPG03-10, Paper No.2950
Title:
Direction Estimation of Mixed Noncoherent and Coherent Signals with Oblique Projector Tao Hao; Gong Junbin; Xin Jingmin;
Authors: Abstract:
In this paper, we investigate the direction-of-arrivals (DOAs) estimation of a mixed noncoherent and coherent signals impinging on a uniform linear array (ULA). The DOAs of noncoherent and coherent signals are estimated separately, and a new oblique projector is obtained to isolate the coherent signals from the noncoherent ones. Compared with previous works, the proposed method overcomes the ``saturation effect" encountered by most differencing and oblique projection based methods where the estimated DOAs of coherent signals have high elevated error floors. Moreover, the computationally intensive eigendecomposition is avoided and the numerical examples confirm the effectiveness of the proposed method.
Date:
August 8, Monday, 1100-1230, Room AC2 2312
Session:
SPG04 Detection, Sstimation and Classification
Session:
SPG04-01, Paper No.2671
Title:
Stochastic signal detection based on changeable fractional lower order moments in alpha stable noise Luo Junshan; Wang Shilian; Zhang Wei;
Authors:
62
Abstract:
Non-Gaussian noises usually fail many conventional and effective signal detection techniques including the energy detector and the eigenvalue-based detector. The fractional lower order moment (FLOM) based detector has proved to be useful for unknown stochastic signal detection in α-stable distributed noises. However, the fixed exponent prevents the improvement of its performance. This paper presents a novel signal detection method based on changeable fractional lower order moments in nonGaussian noise modeled by the α-stable distribution. The proposed detector would require the estimation of the characteristic exponent (α) and the dispersion (γ) of the background noises, to decide a proper bound using an empirical formula for piecewise processing. Computer simulations and field experiments are conducted to obtain the detection probabilities and ROC curves of the proposed detector, against the FLOM detector and Cauchy detector, in terms of the generalised signal-to-noise ratio and the characteristic exponent (α). Results show that the changeable fractional lower order moment detector significantly outperforms the FLOM based detector and Cauchy detector for small values of α and the simple implementation makes it an attractive solution for signal detection in α-stable distributed noises.
Session:
SPG04-02, Paper No.2701
Title:
Limited Intervention Collaborative Decision-making of MAV/UAV Team based on FCM Chen Jun; Xu Jia; Ding Lin; Zhong Linhui;
Authors: Abstract:
Usually it's feasible for Unmanned Aerial Vehicle (UAV) to take the responsibilities of target detection, surveillance, reconnaissance and positioning. However, when the battlefield environment is rather complex, cooperative operation becomes necessary. Suppose there are two types of UAV in the battlefield -reconnaissance UAV(R-UAV) and Unmanned Combat Aerial Vehicle (UCAV), based on fuzzy cognitive map (FCM), this paper firstly builds UAV’s autonomous attack decision-making model. However, when UAV cannot make certain decision because of self-limiting, Manned Aerial Vehicle (MAV) will make intervention. Then this paper designs three levels of limited intervention collaborative decision-making mechanism. By adding auxiliary decision information or adjusting decision threshold, UAV can make a new decision. Finally, simulation results indicate: under special conditions, UAV can make certain decisions. When UAV’s autonomous decision is “uncertain”, MAV’s limited
63
intervention can help UAV regained a certain decision .This type of decision-making mechanism not only plays full use of UAV’s autonomy, but also reduces MAV’s control burden, decreases the frequent communication in decision-making process, which is very suitable for increasingly complex battlefield environment. Session:
SPG04-03, Paper No.2709
Title:
Euler 2D-PCA for SAR target recognition
Authors:
Liu, Su;
Abstract:
Euler-Principal Component Analysis (e-PCA) has been recently proposed and successfully applied to the classification frame works. By utilizing the robust dissimilarity measure e-PCA demonstrates better performance than standard PCA while dealing with nonlinear component analysis and suppressing outliers. In this letter, we define a two-Dimensional Euler-Principal Component Analysis ( e-2DPCA) framework for SAR image processing. e-2DPCA is based on 2D image matrixes rather than 1D vector which could understand two dimensional (2D) images better and get rid of high dimensional data processing. Furthermore, we applied this algorithm to SAR target recognition. Finally, experiments on MSTAR database perform the usefulness of our method in robust classification towards different situation.
Session:
SPG04-04, Paper No.2753
Title:
An analog circuit diagnosis algorithm Based on Dual-loop Volterra filter Chengkai, Tang; Zhanrong, Jing; Yi, Zhang; Yan Yang
Authors:
Zhang, Gong;
Abstract:
Fault diagnosis algorithm is an important part of power circuit. In order to improve the reliability of power circuit, this paper proposed a novel fault diagnosis algorithm with the dual-loop of Volterra filter. The algorithm utilized the dual-loop of Volterra filter to optimal the parameters of power circuit and remove the noise, then, predict the fault in power circuit by the revised parameters. The simulation show that our proposed algorithm have better convergence speed, training time and the accuracy than the neural network fault diagnosis algorithm and the particle swarm fault diagnosis algorithm.
Session:
SPG04-05, Paper No.2799 64
Title: Authors:
Target scattering centers reconstruction based on C-means method for radar network Liu Feifeng; Feng Wenling; Zeng Tao;
Abstract:
Conventional synthetic aperture radar (SAR) and inverse SAR (ISAR) techniques need long integration time, i.e. 1 second or more, to get the high azimuth resolution. Radar network with widely separated transmitters and receivers has the ability to simultaneously acquire the high range resolution profiles (HRRPs) from different angles and thus has the potential to reconstruct the target image by combining the information from these HRRPs. This paper proposed a target reconstruction algorithm based on the C-means method for radar network. The reconstruction could be accomplished by using fuzzy clustering of C-means method based on these HRRPs. The simulation results validated the proposed algorithm.
Date:
August 8, Monday, 0900-1230, Room AC2 2513
Session:
SPG05 Image and pattern recognition
Session:
SPG05-01, Paper No.2765
Title:
Application of Semi-Supervised Fuzzy Kernel Clustering Algorithm in Recognizing Transformer Winding’s Pressed State Yan Junkai; Qi Weiran; Sun Yue; Zhang Dongkai; Guo Dezheng; Ma Hongzhong This paper applies fuzzy clustering algorithm to recognize the transformer winding’s pressed state based on transformer’s vibration signal. We propose a new semi-supervised fuzzy kernel clustering algorithm (SFKC) based on some modifications for the fuzzy clustering methods. The first modification is that the new algorithm uses prior knowledge to guide the clustering process. Second, it uses kernel function to map the samples to high dimensional feature space for clustering. Third, dynamic weight of the feature is carried out considering the different effects of sample features. The accuracy and reliability of the proposed algorithm are verified by the standard test data set. Then the algorithm is applied to recognize transformer winding’s pressed state. According to the vibration characteristics of the transformer, we construct a sample set incorporating multi-sensors and multi-features for clustering. After clustering, we use the clustering centers and feature weights to recognize new unlabeled sample. The results show that the method is feasible.
Authors: Abstract:
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Session:
SPG05-02, Paper No.2793
Title:
Human Gait Recognition Based on Discrete Cosine Transform and Linear Discriminant Analysis Fan, Zheyi; Jiang, Jiao; Weng, Shuqin; He, Zhonghang; Liu, Zhiwen; To improve the accuracy of gait recognition by fully utilizing gait information, a human gait recognition algorithm based on the Discrete Cosine Transform (DCT) and the Linear Discriminant Analysis (LDA) is proposed in this paper. First, frequency-domain features are extracted from the Gait Energy Image (GEI) by DCT, which can effectively distinguish different frequency components of human gait. Then, these frequency features are further mapped into the optimal discriminant vectors space by LDA, which can enhance the discrimination and reduce dimensions of features. Finally, the identity recognition is implemented according to the shortest similarity distance. Experiments on the database provided by Chinese Academy of Sciences (Institute of Automation) demonstrate that the proposed feature extraction strategy has the highest recognition rate among the compared methods.
Authors: Abstract:
Session:
SPG05-03, Paper No.2813
Title:
A Two-Step Spatio-Temporal Satellite Image Fusion Model for Temporal Changes of Various LULC Zhao Yongquan; Huang Bo;
Authors: Abstract:
This paper proposes a two-step spatio-temporal fusion model (TSTFM) for generating synthetic satellite remote sensing images with high-spatial and high-temporal resolution (HSaHTeR) based on one pair of prior images, which contain one low-spatial but high-temporal resolution (LSaHTeR) image and one high-spatial but low-temporal resolution (HSaLTeR) image. Considering both phenology and type surface temporal changes, the two steps in TSTFM are adopted to handle these two kinds of changes respectively, which are based on weighted mean and example-based image super-resolution approaches accordingly. In addition, a relative radiometric normalization process is conducted before performing the two-step spatio-temporal fusion (STF) process, which aims to calibrate radiometric differences of different kinds of satellite sensors. The proposed method was tested on two sets of test data: surface with mainly LULC phenology changes and surface with primarily LULC type changes. Experimental results 66
show that TSTFM can capture both phenology and type changes efficiently and precisely even with one-pair prior images, and it can also maintain its robustness when facing extremely complex LULC. Session:
SPG05-04, Paper No.2854
Title:
Kinship Verification From Faces: Methods, Databases and Challenges Wu Xiaoting; Boutellaa Elhocine; Feng Xiaoyi; Hadid Abdenour; Automatic kinship verification from face images aims at verifying whether two persons have a kin relation or not by only comparing their visual facial similarities. This is an emerging topic in face analysis and computer vision. Automatic kinship verification is useful in many applications such as finding missing children, image annotation, and social media analysis. In the recent years, there has been a lot of efforts in developing methods to cope with this challenging but important research problem. This paper introduces the topic, discusses the proposed methods, describes the available databases, highlights the open issues and challenges and points out directions for future research.
Authors: Abstract:
Session:
SPG05-05, Paper No.2892
Title:
A Novel Path Segmentation Method for Autonomous Road Following Shi Jinjin; Fu Fangfa; Wang Yao; Wang Jinxiang;
Authors: Abstract:
Detecting roads using monocular vision is a very challenging task as the detection algorithm must be able to deal with complex real-road scenes. In this paper, we describe an algorithm for general path segmentation. There are three main technical contributions of the approach. First, a path segmentation framework is presented, which formulates road detection as a Bayesian posteriori estimation problem. Second, to obtain knowledge about the road surface and encode drivable region, a self-supervised learning algorithm is proposed. Third, three image based statistically independent measurements are developed, which are then incorporated into the Bayesian frame-work to find the two most dominant edges of the path. The method makes no assumptions about the structure or appearance of the road. Experimental results demonstrate that it achieves substantial improvements over the method which represents the current state of the art in unsupervised and self-supervised path segmentation research. Video clips that can be 67
found at http://pan.baidu.com/s/1hqSq8vy show our segmentation results under five different challenging scenarios. Session:
SPG05-06, Paper No.2901
Title:
Discriminative Patch-based Sparse Representation for Face Recognition Yang, Wenming; Sun, Xiang; Gao, Riqiang; Xu, Ying; Liao, Qingmin; This paper illustrates that elaborately selecting some discriminative patches instead of using all patches is helpful for recognition tasks. We propose an effective method called bagging greedy algorithm (BGA) for choosing a collection of patches that is discriminative in terms of classification. Compared with greedy algorithm, BGA is less likely to get into local optimum. Based on the subset of patches, discriminative patch based sparse representation classification (DPSRC) is presented, in which the corresponding patches are concatenated and the reconstruction error are normalized by l1 norm. Compared with state-of-arts, our method shows advantages especially for non-occlusion cases.
Authors: Abstract:
Session:
SPG05-07, Paper No.2976
Title:
Petrographic image classification using Optimized Radial Basis Function Support Vector Machine & Validation of its asymptotic behavior Marathe Ashutosh; Vyas Vibha; Chavhan Madhavi;
Authors: Abstract:
Igneous rock classification using handheld specimens has been practiced regularly. The manual inspection process can be time consuming and error prone and is significantly dependent on the experience and knowledge of the observer. Hence for automated classification of Igneous rock microstructure images into two main types - Volcanic and Plutonic Igneous rocks , pattern classification approach is used. A database of locally relevant representative images belonging to both groups is considered for training as well as testing purposes. The classification into volcanic and Plutonic rocks is done on the basis of the grain size as a unique Geological textural feature. Following the identification of various fundamental statistical features such as Haralick features, and Laws Masks ; a non-linear Support Vector Machine kernel Radial Basis Function (RBF) is used giving good classification results. It is optimized using Grid Search to offer improved results. Leave One Out Cross Validation is carried out. The Grid Search 68
results are validated by studying asymptotic behavior of RBF SVM , plotting boundary curve, identifying underfitting and overfitting regions for the given dataset. Session:
SPG05-08, Paper No.2978
Title:
Study on Algorithm Evaluation of Image Fusion Based on Multi-hierarchical Synthetic Analysis He, Guiqing; Liang, Fan; Feng, Xiaoyi; Siyuan Xing; Dandan Dong To resolve the algorithm evaluation issue of multi-sensor image fusion, we propose a novel synthetic evaluation method using multi-hierarchical gray relational analysis mechanism, which has the merit of using small-sized samples and of allowing unitary comparison. The proposed method combines a priori knowledge and quantization evaluation. In this paper we first outline a basic three-step procedure in order toperform the gray relational analysis for a single-hierarchy evaluation system, and then give a four-step procedure to perform multi-hierarchical evaluation system. Therefore, we obtain a synthetic evaluation result that is more quantitative and comprehensive than conventional subjective and objective measures such as correlation coefficient and average gradient. The novel evaluation method can give not only overall performance evaluation for image fusion algorithm but also specific performance evaluation. Extensive experimental analysis shows that the proposed method generates better evaluation result with respect to quantization, precision, objectivity, reliability, and real-time evaluation. These advantages make it applicable to fusion systems with feedback capability, and can enrich and perfect the image fusion system.
Authors: Abstract:
Session:
SPG05-09, Paper No.3002
Title:
Study on Panchromatic and Multispectral Image Fusion Based on SFIM and CA Transform Li Tao; He Guiqing; Xia Zhaoqiang; Shao Zhuqiang; Liang Fan; With the successive launch and rapid development of the new satellite WorldView-2 and WorldView-3, panchromatic and multispectral image fusion become a hot research topic. To resolve the dilemma of the currently existing methods for panchromatic and multispectral image fusion, viz. unavoidable spectral distortion or the need to introduce cumbersome frequency analysis and
Authors: Abstract:
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reconstruction, a method has been proposed which is based on SFIM (Smoothing Filter-based Intensity Modulation) and CA (Correspondence Analysis). Firstly, the weighted gradient adaptive filtering SFIM model is introduced, whose simple calculation feature has been utilized to extract the spatial information of panchromatic images. Secondly, the statistical CA transform has been brought in and its multivariable analysis feature has been used to process the infusion of spatial information. As a result of the above two processes the novel fusion method has been proposed which is based on SFIM and CA transform. Theoretical and experimental studies show that the proposed method can not only significantly maintain spectral characteristics, in absence of frequency decomposition and reconstruction, but also effectively infuse detailed spatial information, along with the elegancy of simple calculation and real time. In the scenario of panchromatic and multi-spectral image fusion such as similar lighting conditions and physical properties, the proposed method is more suitable for the fusion systems which require fast interactive processing and real-time visualization, and is better than those which are based upon multi-scale analysis. Session:
SPG05-10, Paper No.3011
Title:
An Efficient Automatic Palm Reading Algorithm and its Mobile Applications Development Leung Kwan-Pui; Law N,F;
Authors: Abstract:
Palm reading is a traditional practice in China for a few thousand years to tell ones’ fortune. Currently, there is a lack of mobile applications that allow palm reading to be done automatically and efficiently. This study aimed at developing an effective palm reading algorithm which can run in an Android platform efficiently. OpenCV and Java were used for the implementation. Our palm reading algorithm uses an adaptive thresholding approach to segment the palm image from the background, extract the fingers and calculate their length, extract the three principal palm lines in which regression is applied to produce connected and continuous palm lines. The algorithm was implemented as an Android application. Results showed that the algorithm can be run within 2 to 4 seconds, and the automatic palm reading can be done on mobile platforms accurately. The study enriched existing market of mobile applications that aim at palm reading. With successful implementation of such platform, and by collecting more personal information of the users, such as personality and health status, this
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application can be applied for future research on the prediction of personality and health. Date:
August 8, Monday, 1330-1700, Room AC2 2312
Session:
SPG04 Detection, Sstimation and Classification
Session:
SPG04-06, Paper No.2819
Title:
Methods for Predicting Dark-Current Distribution of CMOS Image Sensor in Radiation Environment Zheng, Ran; Hui, Xiangli; Wang, Jia; Zhao, Ruiguang; Wei, Xiaomin; Hu, Yongcai; Nowadays, CMOS image sensors are more and more used in a wide variety of applications, especially in satellite systems, where they are exposed to space radiation environment. In-orbit sensors suffer from radiation induced dark-current degradation that the dark-current mean value and non-uniformity increase, which results in the signal-to-noise-ratio decrease affecting the image quality. Based on the principle of radiation effects on semiconductor devices, this paper analyzes the ionizing and displacement damage effects in CMOS image sensors due to gamma-rays and protons radiation, and proposes a method for dark-current distribution modeling in the mixed radiation environment. Simulation results proves that the proposed method is well adapted to predict the dark-current distributions for a device which is exposed to both gamma-rays and protons radiation at the same time. Index Terms: Dark-current distribution, Modeling, Protons, gamma rays, Space radiation
Authors: Abstract:
Session:
SPG04-07, Paper No.2835
Title:
DOA estimation in monostatic MIMO array based on sparse signal reconstruction Shi Wentao; Huang Jianguo; Zhang Qunfei; Zheng Jimeng;
Authors: Abstract:
In this paper, a novel method for direction arrival (DOA) estimation in monostatic multiple-input multiple output (MIMO) array is presented. By using the sparse signal reconstruction of monostatic MIMO array measurements with an overcomplete basis, the singular value decomposition (SVD) of the received data matrix can be penalties based on the l1-norm. The optimization problem can be solved exploiting the second-order cone programming framework. The proposed method for monostatic MIMO array 71
could achieve more accurate DOA estimation than the traditional DOA estimation methods. The simulation examples are presented to demonstrate the effective of the proposed method in monostatic MIMO array. Session:
SPG04-08, Paper No.2836
Title:
A Direction Tracking Algorithm Based on the Repulsive Force Model with Low SNR in MIMO HF Sky-wave Radar Hou, Yuguan; Liu, Hongyan;
Authors: Abstract:
In MIMO HF sky-wave radar, the spatial spectrum estimation technology is used to obtain the estimates of the Direction-Of-Departure (DOD) and the Direction-Of-Arrival (DOA) of signals of interest and the “undesired” signals for suppressing the multipath clutter of the instability ionosphere layer. However, in the case of low Signal-to-Noise Ratio (SNR), the biases of the estimates of the direction of the signals and clutter are relatively large. And the biases could not be calibrated by the conventional Particle Filter (PF) algorithm. Therefore, in this paper, a direction tracking algorithm based on the repulsive force model with low SNR in MIMO HF sky-wave radar is proposed to improve the accuracy of the direction tracking. Firstly, the MUSIC algorithm based on the Toeplitz approximation is used to obtain the directions of the signals, which are most often taken as the coherent sources for better resolution performance. Secondly, we develop the repulsive force model with Stochastic Differential Equations (SDE), and add it to the Markov Chain Monte Carlo Particle Filter (MCMC-PF) algorithm. We compare the azimuth estimates obtained by the MUSIC algorithm based on the Toeplitz approximation method using the PF algorithm with the repulsive force model and the PF algorithm without the repulsive force model. The simulation results demonstrate the effectiveness of this algorithm. The algorithm can be applied to DOD and DOA estimates of the azimuth and the elevation with the proper antenna array.
Session:
SPG04-19, Paper No.2842
Title:
A novel TOA estimation method for unknown signal based on intra-pulse correlation accumulation Xu, Jiacen; Wang, Zhongyi; Liu, Quanhua; Ren, Lixiang;
Authors: Abstract:
This paper presents a novel low complexity time-of arrival (TOA) estimation method for unknown intra-pulse modulated signal under
72
low SNR condition. The received signal is firstly pre-processed by delayed conjugate multiplication to reduce the intra-pulse modulation and get a rough range of the signal. Then a novel intra-pulse correlation accumulation method is applied to achieve a precise estimation of rising and falling edge. Simulations are conducted to show the feasibility of the method and evaluate the performance of estimation. Compared with existing methods, this novel method can achieve a better estimation result. Session:
SPG04-10, Paper No.2857
Title:
Imbalanced Network Traffic Classification based on Ensemble Feature Selection Ding, Yaojun;
Authors: Abstract:
In order to improve the classification efficiency of large scale imbalanced network traffic, a classification method based on ensemble feature selection is proposed. The method firstly based on the characteristics of SU algorithm on different data sets to generate the feature subset. According to the data set of support degree and the threshold to produce integrated feature subset, based on the accuracy and recall rate, ROC area three criteria in the decision tree model compared the different feature selection methods of class effect. Experimental results show that the ensemble feature selection method in imbalanced network traffic classification performance is better than the general SU algorithm.
Session:
SPG04-11, Paper No.2862
Title:
Parameter Estimation of Non-modulated or Modulated Frequency-Hopping Signals Zhang, Qin; Liu, Yanhui; Zhang, Xinxiang;
Authors: Abstract:
It is a very effective way to use time-frequency distribution to analyze the Frequency-Hopping (FH) signals. There are a variety of time-frequency analysis methods, in which wavelet transform’s time-frequency distribution of the signal is very sensitive to noise, and Wigner-Ville distribution has a good time-frequency aggregation but the presence of severe crosstalk analysis of multi-component signals. Classic STFT is a good time-frequency tools, but cannot obtain a higher time resolution and frequency resolution at the same time. In this paper, the classical STFT algorithm is improved to work well in lower SNR by using image processing, and further improve time resolution at the same time combined with the differential frequency discrimination in high
73
SNR. Experimental results show that reasonable input parameters will improve the performance of frequency hopping signal parameter estimation. Index Terms—Frequency-Hopping, Estimation, STFT. Session:
SPG04-12, Paper No.2873
Title:
Node Placement Optimization for Distributed Sensor Network Using Adaptive Genetic Algorithm Yan Qingli; Chen Jianfeng;
Authors: Abstract:
Sensor placement is an important issue for distributed sensor network design, especially when it is used for collaborative tasks (e.g., source localization and tracking). In this paper, the averaged Cramer-Rao Lower Bound (CRLB) of TDOA-based sensor network localization system is derived at first in a more practical scenario where the variance of the Time Of Arrival (TOA) estimate error of each sensor node is proportional to the square of its distance from the source. An adaptive genetic algorithm is then designed and applied to the optimal sensor placement process. A series of simulations are carried out to verify and demonstrate the performance of the proposed method when there is a sound source and 5, 10, 18 and 45 sensor nodes in a square test region, respectively. The simulation results show that the proposed adaptive genetic algorithm works successfully and the obtained optimal sensor placement emerges as an even distribution.
Session:
SPG04-13, Paper No.2891
Title:
Radar Signal Classification Based on Auto-Correlation Function and Directed Graphical Model Wang Chao; Gao Hao; Zhang Xudong;
Authors: Abstract:
This paper proposes a new radar signal classification algorithm based on auto-correlation function (ACF) and directed graphical model (DGM). The ACFs of analytic radar signals are calculated to magnify the discrimination of signals of different categories. A simple de-noising approach is introduced to purify the ACFs. Four features are extracted from the purified ACF. A DGM is used to represent the joint probability distribution of the four features along with the category and to classify unknown radar signals. Simulation results show the effectiveness of this classification algorithm.
Session:
SPG04-14, Paper No.2922 74
Title: Authors:
Two Dimension Angle Estimation Based on Spatial Time-Frequency Analysis Du, Jinxiang; Wang, Huigang; Qian Qi
Abstract:
In this paper, we propose a 2-dimension bearing estimation method based on spatial time-frequency analysis. We generalize spatial power spectrum based on wavelet transform (SPS-WT) to 3-dimension space. By analyzing the relationship between the wavelet transform of the frequency invariant beam's output and the array's beampattern, we derived SPS-WT in 3-dimension space. The method has good performance on noise suppression by utilizing the statistical uncorrelation character between signals and noise, and also has high resolution on bearing estimation. The performance of the proposed method is illustrated in simulation results.
Session:
SPG04-15, Paper No.2960
Title:
Facial Expression Recognition Using Depth Map Estimation of Light Field Camera Shen, Tak-Wai; Fu, Hong; Chen, Junkai; Yu, W, K, ; Lau, C, Y, ; Lo, W, L, ; Zheru Chi Facial expressions recognition has gained a growing attention from industry and also academics, because it could be widely used in many field such as Human Computer Interface (HCI) and medical assessment. In this paper, we evaluate the strength of the Light Field Camera for facial expression recognition. The light filed camera can capture the directions of the incoming light rays which is not possible with a conventional 2D camera. In addition, the light filed camera could estimates depth maps which provide further information to handle the facial expression recognition problem. Firstly, a new facial expression dataset is collected by the light field camera. The depth map is estimated and applied on Histogram Oriented Gradient (HOG) to encode these facial components as features. Then, a linear SVM is trained to perform the facial expression classification. Performance of the proposed approach is evaluated using the new dataset with estimated depth map. Experimental results show that significant improvements on accuracy are achieved as compared to the traditional approach.
Authors: Abstract:
Date:
August 8, Monday, 1330-1700, Room AC2 2513
Session:
SPG01 Signal Processing Technique and Interest 75
Session:
SPG01-11, Paper No.2680
Title:
Computation of sensitivity map in AECVT based on voltage distribution Zou, Xingxing; Zhao, Jinchuang; Fu, Wenli;
Authors: Abstract:
Adaptive electrical capacitance tomography can improve the image resolution with more flexible control in sensitivity map which become a new research direction for three dimensional capacitance imaging. However, the conventional computation of sensitivity map is time-consuming, a fast approach based on voltage distribution was proposed to solve this problem. The simulation results show that the sensitivity map obtained by the conventional and fast computation approach are very close while the computation time of the later is 20% of that of the former one.
Session:
SPG01-12, Paper No.2691
Title:
Temporal Evolution Analysis of Functional Connectivity in Epilepsy Based on Weighted Complex Networks He Yan; Yang Fan;
Authors: Abstract:
It’s proposed that weights of links play critical role in complex system. In this study, we adopted nine network characteristics to verify their performance in the brain of temporal lobe epilepsy (TLE). Weighted networks were derived from phase locking values on multichannel intracranial electroencephalography (EEG) recordings when the patient is undergoing seizure attack. It's illustrated that network efficiency, vertex strength, transitivity and characteristic path were sensitive to the occurrence of seizures compared to other measurements. What's more, networks derived from gamma band neural oscillations performs more remarkable than other sub band signals while networks in delta band manifests trivial alterations during seizure process. Further research would focus on investigating characteristic network features in weighted networks and frequency dependency in epileptic brain of TLE. Index Terms—Weighted network, EEG, Epilepsy, Phase locking Value.
Session:
SPG01-13, Paper No.2735
Title:
The Robustness Research of Beamforming Algorithm against Pointing Error Cui Lin; Jiao Yameng;
Authors:
76
Abstract:
In this paper a robust beamforming method is proposed, which can effectively overcome the influence of DOA(direction of arrival) mismatch. The proposed method exhibits the enhanced robustness of the beamformers based on analysis of linear constrained minimum variance beamformer. Then the support vector regression (SVR) algorithm is applied to the robust beamforming, which is based on the principle of structural risk minimization. Simulation results show that the SVR-based beamforming method enhances the robustness in terms of desired signal array manifold vector errors in an ideal scenario of no-mismatch and an actual scenario of mismatch respectively.
Session:
SPG01-14, Paper No.2826
Title:
ECG Features Extraction using Second-Order Dynamic System and Regeneration using Hybrid Recurrent Network Abdul-Kadir, Nurul Ashikin; Othman, Mohd Afzan; Mat Safri, Norlaili; ECG signals show the heart’s condition for each individual. ECG signal’s characteristic can be extracted by using several methods such as P-wave conditions, RR-interval, fast-Fourier transform, wavelet transform, and etc. This study shows the relationship between features extraction of ECG signals by using second-order dynamic system (SODS) technique and ECG signals regeneration by using hybrid-recurrent network (HRN). HRN technique describes the mathematical proof of the algorithms used in SODS. The algorithm was developed by using Matlab software platform. Comparison was made and it was found that the ECG features extracted from SODS can be used to regenerate the ECG signals based on HRN technique. Therefore, the features extracted from SODS were valid to be used for further analysis of ECG signals.
Authors: Abstract:
Session:
SPG01-15, Paper No.2830
Title:
Analysis of The GEO Multipath impact on Ionosphere-free Combination Positioning in BDS System Jia Shan; Tang Xiaomei; Xiao Zhibin; Wang Feixue;
Authors: Abstract:
the satellites constellation of BeiDou regional navigation satellite system (BDS) is different from GPS, which consists of Geostationary Orbit (GEO), Inclined Geosynchronous Orbit (IGSO) and Medium Earth Orbit (MEO). Due to the different constellation of navigation system, there should be some special characteristics of BDS to be analyzed thoroughly. For example, 77
when used Ionosphere-Free Combination Positioning algorithm (IF) in BDS, the positioning accuracy performs worse than Single frequency positioning. This paper studies the genuine causes of this phenomenon initially. From the analysis, GEO multipath error should be the main reason which caused this phenomenon. GEO multipath error changes slowly, even calls “standing multipath error”. This paper analyzes this phenomenon and characteristics of GEO multipath error, then proposes an amended algorithm to estimate GEO multipath error. Finally used computed multipath error to correct Ionosphere-Free Combination Positioning. The simulation results show a significant promotion in positioning accuracy. Session:
SPG01-16, Paper No.2840
Title:
The modified back projection algorithm for bistatic ISAR imaging of space objects Zhao Huipeng; Wang Junling; Xiong Di; Qi Xiaoyang;
Authors: Abstract:
Inverse Synthetic Aperture Radar (ISAR) imaging is a significant way of observation and identification for space objects. Because the motion information can be predicted, space objects can be regarded as quasi-cooperative target. Thus back projection (BP) algorithm is applied into bistatic ISAR imaging of space objects. It is well known that conventional BP algorithm is sensitive to synchronization and motion errors. In the view of this, a modified BP algorithm is proposed, which uses high resolution range profiles (HRRP) after coherent motion compensation and phase autofocusing rather than directly compressed ones. The motion compensation is based on range-velocity (RV) information which can be propagated by Simplified General Perturbations, version 4 (SGP4) orbit model. By using the criterion of maximal image contrast, the prediction errors can be reduced by parameters’ search. The residual motion errors and the inherent synchronization errors are eliminated by phase autofocusing. The modified algorithm can provide technical support for real data processing. Simulation results are given to validate the correctness and effectiveness of the proposed method.
Session:
SPG01-17, Paper No.2883
Title:
A Variable Step Size LMS Adaptive Filtering Algorithm Based on L2 Norm Wang Yixia; Sun Xue; Liu Le;
Authors:
78
Abstract:
On the basis of the traditional LMS algorithm and several improved algorithms, a variable step size LMS algorithm is proposed in this paper, which is based on the L2 norm. In this algorithm, a new nonlinear relationship between the step size and the error signal is established by introducing the input signal into the step size iteration function, so that it can reflect the impact of input signal on performance. Meanwhile, the smoothing factor is added to make the step size determined by current error value and also previous error, bringing it certain noise immunity. In this paper, theoretical analysis and simulation experiments are conducted to compare the new algorithm with other existing algorithms from convergence speed, tracking performance and steady state mean square error (MSE). According to the simulation results, the proposed algorithm has a higher speed of convergence and better performance on tracking than those algorithms, whereas the steady state MSE remains the same as others.
Session:
SPG01-18, Paper No.2936
Title:
Dictionary Adaptation for Adaptive Filtering With Multiple Kernels in a Dynamic Environment Wada, Tomoya; Tanaka, Toshihisa;
Authors: Abstract:
One of the major challenges in adaptive filtering is choosing an appropriate model. In this paper, we propose a novel dictionary adaptation rule with multiple kernels. The proposed method can eliminate unnecessary elements in the dictionary by using block L1 regularization. In addition to that, the proposed method can efficiently ``move'' elements of the dictionary to increase the approximation performance. Numerical examples support the efficacy of the proposed method.
Session:
SPG01-19, Paper No.2953
Title:
Learning-based super-dimension (SD) reconstruction of porous media from a single two-dimensional image He Xiaohai; Li Yang; Teng Qizhi; Li Zhengji; Qing Linbo;
Authors: Abstract:
The three-dimensional (3D) microscopic pore structure of Reservoir rock directly affects its seepage characteristics and physical properties. A 3D microscopic pore structure can be reconstructed from a single two-dimensional (2D) training image (TI) by using mathematical modeling methods. In this paper, we introduce the concepts of blocks, dictionary and learning into the reconstruction of 3D porous media from the area of example-based
79
super-resolution (SR) reconstruction, and put forward the concept of super-dimension (SD) reconstruction: study the corresponding relations between 2D images and 3D images of real microscopic pore structure of reservoir rock, and use these relations as guidance for the reconstructions of a new 2D image. According to the concept of SD reconstruction, we put forward a new learning-based superdimension (LBSD) reconstruction algorithm whose basic steps are as follows: (1) Select the training set; (2) build the dictionary; (3) reconstruction. Based on these steps, we did experiments on reconstruction of porous media from a single two-dimensional image. Comprehensive tests show that the reconstructed 3D structure consists with the 3D Micro-CT core sample where the 2D TI is selected from both in morphological characteristics and Statistical characteristics. Session:
SPG01-20, Paper No.2959
Title:
Beidou combined-FFT Acquisition Algorithm for Resource-constrained Embedded Platform Zeng Qingxi; Zhang Pengna; Ma Shan; Feng Yupeng;
Authors: Abstract:
The length of Beidoucode is twice that of the Global Position System (GPS) C/A code, and the resource consumption will be doubled on embedded hardware with a finite resource if it is processed with the traditional algorithm. Hence, this paper proposes an acquisition algorithm based on combined Fast Fourier Transform (FFT), which separates a signal into odd and even sequences and processes them in serial. By doing so, FFT length is halved and memory usage is decreased. The paper then goes on to analyze the space complexity and time complexity of the proposed algorithm and the traditional algorithm on the embedded platform. The results show that the memory usage of the proposed algorithm is reduced by 23.3% and the amount of multiplication by 12% while the acquisition accuracy remains stable as the PTP values of these two algorithms are close. In other words, the proposed algorithm consumes less resource with no acquisition accuracy losses.
80
Chen, Xiaolong
49
Author Index by page no.
Chen, Xin
14
A Abbdal, Salah H.
Cheng, Kejia
27
Chengkai, Tang
64
Chi, Zhizhen
18
Chiy, Zhizhen
18
Chung, Jin-Gyun
58
Comendador, Benilda Eleonor V.
39
Cui, Lin
76
17 36
Abduljabbar, Zaid Ameen
38 36
Abdul-Kadir, Nurul Ashikin
77
B
D
Bai, Xia
50
Bo, Li
34 35
Boutellaa, Elhocine
67
Bu, Renfei
7
C Cao, Hui
52
Cao, Jing
12
Chang, Shu-Cheng
58
Chang, Wei-Ling
40
Chen, Chiang-Hen
15 17
Chen, Hang
61
Chen, Huayan
9
Chen, Huiming
18
Chen, Jun
63
Chen, Junkai
75
Chen, Qiang
43
Chen, Shichao
20 24
Chen, Weiling
27
Deng, Bing
49
Deng, Dan
51
Deng, Tian-Bo
2
Deng, Yiqiu
53
Deqing, Zou
38
Di, Zeng
6
Ding, Lin
63
Ding, Yaojun
73
Ding, Zegang
23 40 23
Du, Jinxiang
74
Du, Yongqian
30
F Fan, Ding
55
Fan, Xianxue
33
Fan, Zheyi
66
Feng, Haihong
28
Feng, Hu
12
Feng, Jiuchao
15
Feng, Wenling
64
Guo, Yichao
14
Feng, Xiaoyi
2
Guo, Yong
46
67
H
69
Han, Mo
53
Feng, Yuan
50
He, Chengbing
27
Feng, Yupeng
80
8
Fu, Fangfa
67
45
Fu, Hong
75
He, Dengfeng
57
Fu, Xiaowei
30
He, Guiqing
69
Fu, Xiongjun
20
G
69 He, Miaokang
55
Gao, Hao
74
He, Xiaohai
79
Gao, Hongju
56
He, Yan
76
Gao, Jing
44
He, Zhiwei
57
21
He, Zhonghang
66
44
Hei, Hong-Wu
49
57
Hong, Ming
57
57
Hou, Yuguan
72
Gao, Riqiang
68
Hu, Shanqing
22
Gao, Wenbin
40
Gao, Zhibin
31
Hu, Xiuhua
37
Ge, Yao
26
Hu, Ya-Han
5
Gong, Junbin
62
Huan, Hao
14
Guan, Jian
49
Huang, Chin-Yu
58
Guo, Dezheng
65
Huang, Haoqian
50
Guo, Jianmin
14
Huang, Jianguo
7
Guo, Lei
37
71
Guo, Longxiang
17
45
Gao, Mingyu
55
47
Huang, Minyan
28
Guo, Qiang
54
Huang, Weikun
10
Guo, Xi
28
Hui, Xiangli
71
Hussain, Mohammed Abdulridha
Hussien, Zaid Alaa
52
38
33
36
Li, Daojiang
60
38
Li, Feng
44
36
44 21
I Ibrahim, Ayad
38
Li, Guifang
30
36
Li, Hai
32
Li, Hangyang
18
J Ji, Chunlin
15
Li, Hongyang
18
Jia, Ju
4
Li, Huifang
37
Jia, Shan
77
Li, Jilong
28
Jian, Xue
41
Li, Jun
33
Jiang, Jiao
66
Li, Longjiang
36
Jiang, Junmin
1
Li, Qinyuan
8
Jiang, Xueqin
33
Jiang, Zhe
26
Li, Siyu
56
Jin, Hai
38
Li, Tao
69
36
Li, Wenjing
43
Jin, Jiucai
25
Li, Xingming
55
Jin, Ye
22
Li, Yang
79
Jinxiang, Du
61
Li, Zhengji
79
Liang, Fan
69
Liang, Hong
4
Liang, Yusheng
33
Liao, Xin
23
K Ku, Sheng-Ju
16
L
27
Lau, C. Y.
75
Lei, Kaizhuo
57
Leung, Kwan-Pui
70
Lin, Huiting
18
Li, Bo
21
Lin, Xuefang
42
32
Liu, Fan
30
60
Liu, Feifeng
64
40
Liu, Huafeng
4
Ma, Zhixun
21
Liu, Jianyan
5
Mao, Yang
35
Liu, Ju
3
Mao, Yijie
13
Liu, Lanjun
25
Marathe, Ashutosh
68
Liu, Meiqin
10
Miao, Hongxia
54
9
Mishra, Anurag
38
20
O Othman, Mohd Afzan P
77
Pang, Feifei
12
Peng, Kai
55
Peng, Shuilian
20
Liu, Ming
24 Liu, Qiang
5
Liu, Quanhua
72
Liu, Shuai
23
Liu, Songzuo
28
Liu, Su
64
Liu, Xiaoping
53
Liu, Yanhui
73
Liu, Yong
43
Liu, Yuanyuan
57
Liu, Yu-Hsin
15
Lo, W. L.
75
Lu, Fugang
20 24
Lu, Mengyu
22
Lu, Ming-Feng
54
Lu, Xiangyang
54
Luan, Peng
51
Luo, Junshan
62
Lv, Pin
14
M Ma, Shan
80
Ma, Tianlong
28
Ma, Yiran
26
Q Qi, Qian
61
Qi, Weiran
65
Qian, Liangfang
10
Qiao, Gang
28
Qin, Hao
57
Qin, Ye
26
Qu, Aixi
3
Qu, Qiao
52
R Rabago, Lorena W.
39
Rajpal, Ankit
38
Ren, Xiaohuan
47
Ren, Ziliang
15
Ru, Tie Shan
11
S Shan, Nana
1
Shao, Zhuqiang
69
Shen, Tak-Wai
75
Shi, Guixin
61
Shi, Jinjin
67
Shi, Jun
53
Tsai, Chih-Fong
Shi, Wentao
45
V
71
Vyas, Vibha
27
W
Shukla, Mahendra K.
50
Wada, Tomoya
79
Siyuan, Xing
69
Wan, Wenbo
3
Su, Kaiyu
57
Wang, Chao
74
Su, Lin
45
Su, Mengna
4
Wang, Fei
55
Su, Nan
5
Wang, Fengge
54
Su, Peng
18
Wang, Hongyan
24
Su, Wei
50
Wang, Huigang
74
Sun, Hung-Min
40
Wang, Jia
60
Sun, Peixia
18
45
Sun, Xiang
68
71
Sun, Xue
78
Wang, Jinghua
22
Sun, Yue
65
Wang, Jingjing
18
Wang, Jun
41
T
Tsai, Cheng-Rung
15 17 5 68
44
Tang, Lijun
57
Wang, Junling
78
Tang, Qi
1
Wang, Pengjun
59
Tang, Shengyu
17
Wang, Shilian
62
Tang, Xiaomei
77
7
Tang, Zheng
29
9
Tao, Fuyu
42
48
Tao, Hao
62
Wang, Shi-Lian
25
Tao, Ran
54
Wang, Tong
42
Teng, Duo
60
Teng, Qizhi
79
Wang, Wei
47
Tian, Ming-hao
30
Wang, Xiaobei
23
42
Wang, Xihan
2
Wang, Xin
26
Xiang, Yin
23
Wang, Xue
24
Xiao, Yifan
3
Wang, Yao
67
Xiao, Zhibin
77
Wang, Ying
55
Xiaoya, Zuo
35
Wang, Yixia
78
Xie, Yan-An
46
Wang, Yunlan
35
Xie, Yang
48
Wang, Zhongyi
72
Xiong, Di
78
Wei, Tingcun
60
Xu, Jia
63
45
Xu, Jiacen
72
60
Xu, Lijun
6
Wei, Xiaomin
69
71
6
45
Xu, Liyun
48
Wei, Xin
29
Xu, Xiaofei
31
Wen, Miaowen
33
Xu, Yan
4
Wen, Yuanmei
3
Xu, Ying
68
Weng, Shuqin
66
Xue, Qingtian
34
Wu, Chang Ying
11
Y
Wu, Chien-Sheng
17
Yadav, Suneel
50
Wu, Dan
56
Yan, Junkai
65
Wu, Jianxin
42
Yan, Qingli
74
42
Yan, Shefeng
6
Wu, Jin-Min
54
6
Wu, Jun
37
26
Wu, Junsheng
12
61
Wu, Xiaoting
67
Wu, Yong
41
32
Wu, Yongqing
61
34
Wu, Yujing
58
52
X
0
33
Xia, Zhaoqiang
2
Yan, Zhongjiang
Yang, Bo
21
21
32
Zhang, Jie
25
Yang, Fan
55
Zhang, Lingling
7
Yang, Jianjun
36
Zhang, Pengcheng
25
Yang, Mao
52
Zhang, Pengna
80
33
Zhang, Qin
73
Yang, Mingyuan
44
Zhang, Qingyue
46
Yang, Peiyao
32
Zhang, Qunfei
12
Yang, Wenming
68
8
Yanwei, Yang
12
57
Yeon-Jin, Kim
58
71
Yi, Xie
35
Zhang, Senlin
9
Yi, Zhang
64
Zhang, Sida
4
Yin, Jingwei
17
Zhang, Wei
9
47
Zhang, Xiao
17
Yin, Peng
23
Zhang, Xin
8
Yong-En, Kim
58
Zhang, Xin-xin
30
Yu, Haizhen
59
Zhang, Yang
57
Yu, W. K.
75
Zhang, Yan-Na
49
Yu, Xiaohan
49
Zhang, Yonglei
25
Yuan, Fei
27
Zhang, Yuan
10
Yuan, Zhuqing
26
Zhang, Yun
49
Zhang, Yuping
43
Z Zeng, Qingxi
80
Zhang, Zhen
6
Zhang, Bin
35
Zhanrong, Jing
64
Zhang, Chaojie
44
Zhao, Caidan
31
Zhang, Chengyan
20
Zhao, Huipeng
78
Zhang, Chenqi
41
Zhao, Jiayun
22
Zhang, Dongkai
65
Zhao, Jinchuang
76
Zhang, Eryang
48
Zhao, Ruiguang
71
Zhang, Feng
54
Zhao, Tianhai
35
Zhang, Hao
25
Zhao, Xin
40
Zhao, Yongquan
66
Zhao, Zhi
15
Zhao, Zilu
9
Zheng, Ran
71 45
Zhong, Jiang
12
Zhongjiang, Yan
35
Zhou, Biao
61
Zhou, Feng
29
Zhou, Wei
1
Zhou, Wen
51
Zhu, Guangping
17
Zhu, Jiang
51
Zou, Xingxing
76
Zuo, Xiaoya
34
Zuo, Xiaoya
52 33
By Session No. Abbdal, Salah H.
CPT02-02 CPT01-03
Abduljabbar, Zaid CPT02-02 Ameen CPT01-03 Abdul-Kadir, SPG01-14 Nurul Ashikin B Bai, Xia Bo, Li
SPX2-10 COM03-10 COM03-11 Boutellaa, Elhocine SPG05-04 Bu, Renfei SPX1-04 C Cao, Hui
COM03-15
Cao, Jing Chang, Shu-Cheng Chang, Wei-Ling Chen, Chiang-Hen Chen, Hang Chen, Huayan Chen, Huiming Chen, Jun Chen, Junkai Chen, Qiang Chen, Shichao
COM01-04 CPT03-08 CPT02-05 COM02-05 DSPC-02 SPG03-09 SPX1-09 DSPC-05 SPG04-02 SPG04-15 SPG03-01 SPG02-01 SPG02-10 SPX1-15 SPX2-07 COM02-01 SPX1-16 SPG04-04 DSPC-04 DSPC-06 CPT03-07
Chen, Weiling Chen, Xiaolong Chen, Xin Cheng, Kejia Chengkai, Tang Chi, Zhizhen Chiy, Zhizhen Chung, Jin-Gyun Comendador, CPT02-04 Benilda Eleonor V. Cui, Lin SPG01-13 D Deng, Bing Deng, Dan Deng, Tian-Bo Deng, Yiqiu Deqing, Zou Di, Zeng Ding, Lin Ding, Yaojun Ding, Zegang
Du, Jinxiang Du, Yongqian
SPX2-08 COM03-13 SPG01-03 SPX2-11 CPT02-02 SPX1-02 SPG04-02 SPG04-10 SPG02-08 SPG02-11 SPG02-07 SPG04-14 COM03-03
F Fan, Ding Fan, Xianxue
CPT03-01 COM03-08
Fan, Zheyi Feng, Haihong Feng, Hu Feng, Jiuchao Feng, Wenling Feng, Xiaoyi
Feng, Yuan Feng, Yupeng Fu, Fangfa Fu, Hong Fu, Xiaowei Fu, Xiongjun G Gao, Hao Gao, Hongju Gao, Jing
Gao, Mingyu Gao, Riqiang Gao, Wenbin Gao, Zhibin Ge, Yao Gong, Junbin Guan, Jian Guo, Dezheng Guo, Jianmin Guo, Lei Guo, Longxiang Guo, Qiang Guo, Xi Guo, Yichao Guo, Yong H Han, Mo He, Chengbing
SPG05-02 SPX1-17 COM01-05 COM02-03 SPG04-05 SPG01-04 SPG05-04 SPG05-08 SPX2-10 SPG01-20 SPG05-05 SPG04-15 COM03-02 SPG02-02
SPG04-13 CPT03-03 SPG03-03 SPG02-04 SPG03-02 CPT03-06 CPT03-05 SPG05-06 SPG02-11 COM03-04 SPX1-14 SPG03-10 SPX2-07 SPG05-01 COM02-02 CPT01-05 DSPC-01 SPX2-03 SPX2-14 SPX1-17 COM02-02 SPX2-02
SPX2-11 SPX1-16 SPX1-06
He, Dengfeng He, Guiqing He, Miaokang He, Xiaohai He, Yan He, Zhiwei He, Zhonghang Hei, Hong-Wu Hong, Ming Hou, Yuguan Hu, Shanqing Hu, Xiuhua Hu, Ya-Han Huan, Hao Huang, Chin-Yu Huang, Haoqian Huang, Jianguo
Huang, Minyan Huang, Weikun Hui, Xiangli Hussain, Mohammed Abdulridha
SPG03-05 CPT03-04 SPG05-09 SPG05-08 CPT03-01 SPG01-19 SPG01-12 CPT03-05 SPG05-02 SPX2-08 CPT03-06 SPG04-08 SPG02-05 CPT03-02 CPT01-05 SPG01-09 COM02-02 CPT03-08 SPX2-10 SPX1-05 SPG04-07 SPG03-05 SPX1-17 SPX1-10 SPG04-06 CPT02-02
CPT01-03 Hussien, Zaid Alaa CPT02-02 CPT01-03 I Ibrahim, Ayad J Ji, Chunlin Jia, Ju Jia, Shan Jian, Xue Jiang, Jiao Jiang, Junmin Jiang, Xueqin
CPT02-02 CPT01-03 COM02-04 SPG01-08 SPG01-15 SPG02-12 SPG05-02 SPG01-01 COM03-07
Jiang, Zhe Jin, Hai Jin, Jiucai Jin, Ye Jinxiang, Du
SPX1-14 CPT02-02 CPT01-03 SPX1-12 SPG02-05 SPG03-09
K Ku, Sheng-Ju
COM02-06
L Lau, C. Y. Lei, Kaizhuo Leung, Kwan-Pui Li, Bo
Li, Daojiang Li, Feng
Li, Guifang Li, Hai Li, Hangyang Li, Hongyang Li, Huifang Li, Jilong Li, Jun Li, Longjiang Li, Qinyuan Li, Siyu Li, Tao Li, Wenjing Li, Xingming Li, Yang Li, Zhengji Liang, Fan Liang, Hong Liang, Yusheng Liao, Xin
SPG04-15 CPT03-04 SPG05-10 SPG02-03 COM03-05 SPG03-07 COM03-16 COM03-09 SPG03-06 SPG03-02 SPG03-03 SPG02-04 COM03-03 COM03-06 DSPC-06 DSPC-04 CPT02-01 SPX1-17 COM03-07 CPT01-04 SPX1-06 SPX1-16 CPT03-03 SPG05-09 SPG03-01 CPT03-02 SPG01-19 SPG01-19 SPG05-08 SPG01-07 COM03-09 SPG02-07
Lu, Mengyu Lu, Ming-Feng Lu, Xiangyang Luan, Peng Luo, Junshan Lv, Pin
SPG02-11 DSPC-03 SPG02-14 COM03-01 SPG04-05 SPG01-07 SPX1-01 SPG01-05 SPX1-12 SPX1-10 SPX1-09 SPG02-01 SPG02-10 SPX1-01 SPG04-19 SPG02-07 SPX1-18 SPG04-03 SPX2-11 SPG04-11 SPG02-16 CPT03-05 COM02-05 SPG04-15 SPG02-01 SPG02-10 SPG02-06 SPX2-13 SPX2-14 COM03-14 SPG04-01 COM02-02
M Ma, Shan Ma, Tianlong Ma, Yiran Ma, Zhixun Mao, Yang Mao, Yijie Marathe, Ashutosh Miao, Hongxia Mishra, Anurag
SPG01-20 SPX1-18 SPX1-14 SPG02-04 COM03-11 COM01-06 SPG05-07 SPX2-12 CPT02-03
Lin, Huiting Lin, Xuefang Liu, Fan Liu, Feifeng Liu, Huafeng Liu, Jianyan Liu, Ju Liu, Lanjun Liu, Meiqin Liu, Ming Liu, Qiang Liu, Quanhua Liu, Shuai Liu, Songzuo Liu, Su Liu, Xiaoping Liu, Yanhui Liu, Yong Liu, Yuanyuan Liu, Yu-Hsin Lo, W. L. Lu, Fugang
O Othman, Mohd Afzan P Pang, Feifei Peng, Kai Peng, Shuilian
SPG01-14
COM01-03 CPT03-01 SPG02-02
Q Qi, Qian Qi, Weiran Qian, Liangfang Qiao, Gang Qin, Hao Qin, Ye Qu, Aixi Qu, Qiao
SPG03-09 SPG05-01 SPX1-10 SPX1-18 CPT03-06 SPX1-13 SPG01-05 COM03-16
R Rabago, Lorena W. Rajpal, Ankit Ren, Xiaohuan Ren, Ziliang Ru, Tie Shan
CPT02-04 CPT02-03 SPX2-04 COM02-03 COM01-02
S Shan, Nana Shao, Zhuqiang Shen, Tak-Wai Shi, Guixin Shi, Jinjin Shi, Jun Shi, Wentao
Shukla, Mahendra K. Siyuan, Xing Su, Kaiyu Su, Lin Su, Mengna
SPG01-02 SPG05-09 SPG04-15 SPG03-08 SPG05-05 SPX2-11 SPG03-05 SPG04-07 SPX1-16 COM03-12 SPG05-08 CPT03-05 SPG03-04 SPG01-07
Su, Nan Su, Peng Su, Wei Sun, Hung-Min Sun, Peixia Sun, Xiang Sun, Xue Sun, Yue T Tang, Lijun Tang, Qi Tang, Shengyu Tang, Xiaomei Tang, Zheng Tao, Fuyu Tao, Hao Tao, Ran Teng, Duo Teng, Qizhi Tian, Ming-hao Tsai, Cheng-Rung
SPX1-01 DSPC-06 SPX2-10 CPT02-05 DSPC-03 SPG05-06 SPG01-17 SPG05-01
Tsai, Chih-Fong
CPT03-05 SPG01-01 DSPC-01 SPG01-15 SPX1-20 SPG02-15 SPG03-10 SPX2-12 SPG03-06 SPG01-19 COM03-01 COM02-05 DSPC-02 SPG01-09
V Vyas, Vibha
SPG05-07
W Wada, Tomoya Wan, Wenbo Wang, Chao Wang, Fei Wang, Fengge Wang, Hongyan Wang, Huigang Wang, Jia
Wang, Jinghua Wang, Jingjing Wang, Jun
SPG01-18 SPG01-05 SPG04-13 SPG03-03 CPT03-02 SPX2-14 SPG02-09 SPG04-14 SPG03-07 SPG03-04 SPG04-06 SPG02-06 DSPC-04 SPG02-13
Wang, Junling Wang, Pengjun Wang, Shilian
Wu, Jin-Min Wu, Jun Wu, Junsheng Wu, Xiaoting Wu, Yong Wu, Yongqing Wu, Yujing
SPG01-16 CPT03-09 SPG04-01 SPX1-04 SPX1-08 SPX2-06 SPX1-11 SPG02-14 SPG02-15 SPX2-03 SPG02-08 SPG01-04 SPX1-14 SPG02-09 SPG05-05 CPT03-01 SPG01-17 CPT01-01 SPG04-19 SPG03-07 SPG03-04 SPG03-07 SPG04-06 SPG03-04 SPX1-19 COM03-07 SPG01-06 SPG05-02 COM01-02 DSPC-02 CPT03-03 SPG02-14 SPG02-15 SPX2-13 CPT02-01 COM01-04 SPG05-04 SPG02-13 SPG03-08 CPT03-07
X Xia, Zhaoqiang
SPG01-04
Wang, Shi-Lian Wang, Tong Wang, Wei Wang, Xiaobei Wang, Xihan Wang, Xin Wang, Xue Wang, Yao Wang, Ying Wang, Yixia Wang, Yunlan Wang, Zhongyi Wei, Tingcun Wei, Xiaomin
Wei, Xin Wen, Miaowen Wen, Yuanmei Weng, Shuqin Wu, Chang Ying Wu, Chien-Sheng Wu, Dan Wu, Jianxin
Xiang, Yin Xiao, Yifan Xiao, Zhibin Xiaoya, Zuo Xie, Yan-An Xie, Yang Xiong, Di Xu, Jia Xu, Jiacen Xu, Lijun Xu, Liyun Xu, Xiaofei Xu, Yan Xu, Ying Xue, Qingtian Y Yadav, Suneel Yan, Junkai Yan, Qingli Yan, Shefeng
Yan, Zhongjiang
Yang, Bo Yang, Fan Yang, Jianjun Yang, Mao Yang, Mingyuan Yang, Peiyao Yang, Wenming Yanwei, Yang Yeon-Jin, Kim Yi, Xie
SPG05-09 SPG02-07 SPG01-05 SPG01-15 COM03-11 SPX2-02 SPX2-06 SPG01-16 SPG04-02 SPG04-19 SPX1-02 SPX1-03 SPX2-05 COM03-04 SPG01-08 SPG05-06 COM03-10
COM03-12 SPG05-01 SPG04-12 SPX1-02 SPX1-03 SPX1-13 SPG03-08 SPG02-03 COM03-05 COM03-10 COM03-16 COM03-09 SPG02-03 COM03-05 CPT03-01 CPT01-04 COM03-16 COM03-09 SPG03-02 COM03-06 SPG05-06 COM01-05 CPT03-07 COM03-11
Yi, Zhang Yin, Jingwei Yin, Peng Yong-En, Kim Yu, Haizhen Yu, W. K. Yu, Xiaohan Yuan, Fei Yuan, Zhuqing Z Zeng, Qingxi Zhang, Bin Zhang, Chaojie Zhang, Chengyan Zhang, Chenqi Zhang, Dongkai Zhang, Eryang Zhang, Feng Zhang, Hao Zhang, Jie Zhang, Lingling Zhang, Pengcheng Zhang, Pengna Zhang, Qin Zhang, Qingyue Zhang, Qunfei
Zhang, Senlin Zhang, Sida Zhang, Wei Zhang, Xiao Zhang, Xin Zhang, Xin-xin Zhang, Yang Zhang, Yan-Na Zhang, Yonglei Zhang, Yuan Zhang, Yun Zhang, Yuping
SPG04-04 DSPC-01 SPX2-03 SPG02-08 CPT03-07 CPT03-09 SPG04-15 SPX2-07 SPX1-15 SPX1-13
SPG01-20 CPT01-01 SPG03-02 SPG02-02 SPG02-13 SPG05-01 SPX2-06 SPX2-13 SPX1-11 SPX1-12 SPX1-05 SPX1-12 SPG01-20 SPG04-11 SPX2-01 COM01-03 SPX1-06 CPT03-04 SPG04-07 SPX1-09 SPG01-08 SPX1-08 DSPC-01 SPX1-07 COM03-01 CPT03-04 SPX2-09 SPX1-12 COM01-01 SPX2-08 SPG03-01
Zhang, Zhen Zhanrong, Jing Zhao, Caidan Zhao, Huipeng Zhao, Jiayun Zhao, Jinchuang Zhao, Ruiguang Zhao, Tianhai Zhao, Xin Zhao, Yongquan Zhao, Zhi Zhao, Zilu Zheng, Ran Zhong, Jiang Zhongjiang, Yan Zhou, Biao Zhou, Feng Zhou, Wei Zhou, Wen Zhu, Guangping Zhu, Jiang Zou, Xingxing Zuo, Xiaoya
SPX1-03 SPG04-04 COM03-04 SPG01-16 SPG02-05 SPG01-11 SPG04-06 CPT01-01 SPG02-11 SPG05-03 COM02-03 SPX1-08 SPG04-06 SPG03-04 COM01-05 COM03-11 SPG03-09 SPX1-20 SPG01-02 COM03-13 DSPC-01 COM03-14 SPG01-11 COM03-10 COM03-16 COM03-09
