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Volume 42 Issue 4
Apr.  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(4): 789-795.
SUN Zhongsheng, WANG Jun, SUN Jinping, et al. Motion parameters estimation method of single walking human[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(4): 789-795. doi: 10.13700/j.bh.1001-5965.2015.0305(in Chinese)
Citation: SUN Zhongsheng, WANG Jun, SUN Jinping, et al. Motion parameters estimation method of single walking human[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(4): 789-795. doi: 10.13700/j.bh.1001-5965.2015.0305(in Chinese)
shu

Motion parameters estimation method of single walking human

doi: 10.13700/j.bh.1001-5965.2015.0305

  • School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

Funds:  National Natural Science Foundation of China (61171122, 61201318, 61471019)
  • Received Date: 12 May 2015
  • Rev Recd Date: 05 Jun 2015
  • Publish Date: 20 Apr 2016
    Abstract
  • Radar micro-Doppler of human motion can provide signatures for target recognition. It is very difficult to extract motion parameters from radar echo of walking human because of its complexity. An estimation method of single walking human's bulk velocity, gait cycle and cycle length is proposed to realize accurate target recognition. First, the micro-Doppler spectrum of radar echo is obtained using generalized S transform (GST). Then, the micro-Doppler component of torso is extracted, and it is converted into one-dimensional time frequency sequence. Finally, the bulk velocity and gait cycle of walking are estimated directly from this time frequency sequence, and the cycle length is estimated from aforementioned estimations indirectly. The simulation results show that the proposed method has good performance of anti-noise and high estimation precision when signal-to-noise ratio is higher than 4 dB.

     

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    • References(23)
  • [1]
    TIVIVE F H C, PHUNG S,BOUZERDOUM A.An image-based approach for classification of human micro-Doppler radar signatures[C]//Proceedings of SPIE,Active and Passive Signatures IV.Bellingham,WA:SPIE,2013:873406-1-873406-12.
    [2]
    JAVIER R J, KIM Y.Application of linear predictive coding for human activity classification based on micro-Doppler signatures[J].IEEE Geoscience and Remote Sensing Letters,2014,11(10): 1831-1834.
    [3]
    MOLCHANOV P, ASTOLA J,EGIAZARIAN K,et al.Classification of ground moving targets using bicepstrum-based features extracted from micro-Doppler radar signatures[J].EURASIP Journal on Advances in Signal Processing,2013,61:1-13.
    [4]
    FAIRCHILD D P, NARAYANAN R M.Classification of human motion using empirical mode decomposition of human micro-Doppler signatures[J].IET Radar,Sonar and Navigation,2014,8(5):425-434.
    [5]
    CHEN V C, LI F,HO S S,et al.Micro-Doppler effect in radar:Phenomenon,model,and simulation study[J].IEEE Transactions on Aerospace and Electronic Systems,2006,42(1):2-21.
    [6]
    CHEN V C. Doppler signatures of radar backscattering from objects with micro-motions[J].IET Signal Processing,2008,2(3): 291-300.
    [7]
    CHEN V C. Analysis of radar micro-Doppler signature with time-frequency transform[C]//Proceedings of the 10th IEEE Workshop on Statistical Signal and Array Processing.Piscataway,NJ:IEEE Press,2000:463-466.
    [8]
    KIM Y,LING H. Human activity classification based on micro-Doppler signatures using a support vector machine[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(5):1328-1337.
    [9]
    THAYAPARAN T, STANKOVIC L,DJUROVIC I.Micro-Doppler-based target detection and feature extraction in indoor and outdoor environments[J].Journal of the Franklin Institute-Engineering and Applied Mathematics,2008,345(6):700- 722.
    [10]
    BALLERI A, CHETTY K,WOODBRIDGE K.Classification of personnel targets by acoustic micro-Doppler signatures[J].IET Radar,Sonar and Navigation,2011,5(9):943-951.
    [11]
    BILIK I, TABRIKIAN J,COHEN A.GMM-based target classification for ground surveillance Doppler radar[J].IEEE Transactions on Aerospace and Electronic Systems,2006,42(1):267-278.
    [12]
    BILIK I,TABRIKIAN J. Radar targets classification using Doppler signatures of human locomotion models[J].IEEE Transactions on Aerospace and Electronic Systems,2007,43(4): 1510-1522.
    [13]
    LUO Y,ZHANG Q, YUAN N,et al.Three-dimensional precession feature extraction of space targets[J].IEEE Transactions on Aerospace and Electronic Systems,2014,50(2):1313- 1329.
    [14]
    韩勋,杜兰,刘宏伟. 基于窄带雷达组网的空间锥体目标特征提取方法[J].电子与信息学报,2014,36(12):2956- 2962. HAN X,DU L,LIU H W.Feature extraction of space cone-shaped target based on narrow-band radar networks[J].Journal of Electronics & Information Technology,2014,36(12):2956-2962(in Chinese).
    [15]
    LEI P,SUN J P, WANG J,et al.Micromotion parameter estimation of free rigid targets based on radar micro-Doppler[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(10):3776-3786.
    [16]
    GULDOGAN M B, GUSTAFSSON F,ORGUNER U,et al.Human gait parameter estimation based on micro-Doppler signatures using particle filters[C]//IEEE International Conference on Acoustics,Speech and Signal Processing.Piscataway,NJ:IEEE Press,2011:5940-5943.
    [17]
    VAN DORP P, GROEN F C A.Human walking estimation with radar[J].IEE Proceedings-Radar Sonar and Navigation,2003,150(5):356-365.
    [18]
    VAN DORP P, GROEN F C A.Feature-based human motion parameter estimation with radar[J].IET Radar,Sonar and Navigation,2008,2(2):135-145.
    [19]
    BOULIC R, THALMANN M N,THALMANN D.A global human walking model with real time kinematic personification[J].Visual Computer,1990,6(6):344-358.
    [20]
    雷腾,刘进忙,李松,等. 弹道目标进动周期特征提取新方法[J].计算机工程与应用,2013,49(1):265-270. LEI T,LIU J M,LI S,et al.Novel micro-Doppler signature extraction method of ballistic midcourse target[J].Computer Engineering and Applications,2013,49(1):265-270(in Chinese).
    [21]
    BISWAL M, DASH P K.Estimation of time-varying power quality indices with an adaptive window-based fast generalized S transform [J].IET Science Measurement and Technology,2012,6(4):189-197.
    [22]
    孙忠胜,王俊, 毕严先,等.基于广义S变换的多人微多普勒特征分析[J].系统工程与电子技术,2014,36(7):1291-1297. SUN Z S,WANG J,BI Y X,et al.Analysis of multi-human micro-Doppler signatures based on generalized S transform[J].Systems Engineering and Electronics,2014,36(7):1291-1297(in Chinese).
    [23]
    GEISHEIMER J L, GRENEKER E F,MARSHALL W S.A high-resolution Doppler model of human gait[C]//Proceedings of SPIE,Radar Sensor Technology and Data Visualization.Bellingham,WA:SPIE,2002:8-18.
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