Volume 6 Issue 1
Apr.  2017
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Article Navigation >  Journal of Radars  > 2017  >  6(1): 98-105
Zhao Shuang, Lu Weihong, Feng Cunqian, Wang Yizhe. Three-Dimensional Precession Feature Extraction of Ballistic Targets Based on Narrowband Radar Network[J]. Journal of Radars, 2017, 6(1): 98-105. doi: 10.12000/JR15129
Citation: Zhao Shuang, Lu Weihong, Feng Cunqian, Wang Yizhe. Three-Dimensional Precession Feature Extraction of Ballistic Targets Based on Narrowband Radar Network[J]. Journal of Radars, 2017, 6(1): 98-105. doi: 10.12000/JR15129
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Three-Dimensional Precession Feature Extraction of Ballistic Targets Based on Narrowband Radar Network

DOI: 10.12000/JR15129
  • ①.

    Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China

  • ②.

    Collaborative Innovation Center of Information Sensing and Understanding, Xi'an 710077, China

Funds:

The Project Supported by Natural Science Basic Research Plan in Shaanxi Province of China 2014JM8308

The National Natural Science Foundation of China 61372166

  • Received Date: 2015-12-23
  • Rev Recd Date: 2016-03-22
    • Available Online: 2016-05-09
  • Publish Date: 2017-02-28
    Abstract
  • Micro-motion is a crucial feature used in ballistic target recognition. To address the problem that single-view observations cannot extract true micro-motion parameters, we propose a novel algorithm based on the narrowband radar network to extract three-dimensional precession features. First, we construct a precession model of the cone-shaped target, and as a precondition, we consider the invisible problem of scattering centers. We then analyze in detail the micro-Doppler modulation trait caused by the precession. Then, we match each scattering center in different perspectives based on the ratio of the top scattering center's micro-Doppler frequency modulation coefficient and extract the 3D coning vector of the target by establishing associated multi-aspect equation systems. In addition, we estimate feature parameters by utilizing the correlation of the micro-Doppler frequency modulation coefficient of the three scattering centers combined with the frequency compensation method. We then calculate the coordinates of the conical point in each moment and reconstruct the 3D spatial portion. Finally, we provide simulation results to validate the proposed algorithm.

     

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    • References(16)
  • [1]
    Victoria S. American Missile Defense[M]. California:United States of America, 2010:44-78.
    [2]
    Chen V C. Advances in applications of radar micro-Doppler signatures[C]. 2014 IEEE Conference on Antenna Measurements & Application, Antibes, Juan-les-pins, 2014:1-4.
    [3]
    Wang Jun, Lei Peng, Sun Jin-ping, et al.. Spectral characteristics of mixed micro-Doppler time-frequency data sequences in micro-motion and inertial parameter estimation of radar targets[J]. IET Radar, Sonar & Navigation, 2014, 8(4):275-281. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6825700&filter%3DAND%28p_IS_Number%3A6783560%29
    [4]
    Smith G E, Woodbridge K, Baker C J, et al.. Multistatic micro-Doppler radar signatures of personnel targets[J]. IET Signal Processing, 2010, 4(3):224-233. doi: 10.1049/iet-spr.2009.0058
    [5]
    贺思三, 赵会宁, 冯存前.多视角距离像序列弹道目标的进动参数估计[J].信号处理, 2013, 29(8):1027-1035. http://www.cnki.com.cn/Article/CJFDTOTAL-XXCN201308017.htm

    He Si-san, Zhao Hui-ning, and Feng Cun-qian. Precession parameter estimation for ballistic targets based on multiaspect range-profile sequence[J]. Journal of Signal Processing, 2013, 29(8):1027-1035. http://www.cnki.com.cn/Article/CJFDTOTAL-XXCN201308017.htm
    [6]
    Liu L H, McLernon D, Ghogho M, et al.. Ballistic missile detection via micro-Doppler frequency estimation from radar return[J]. Digital Signal Processing, 2012, 22(1):87-95. doi: 10.1016/j.dsp.2011.10.009
    [7]
    罗迎, 张群, 封同安, 等. OFD-LFM MIMO雷达中旋转目标微多普勒效应分析与三维微动特征提取[J].电子与信息学报, 2011, 33(1):8-13. http://www.cnki.com.cn/Article/CJFDTOTAL-DZYX201101045.htm

    Luo Ying, Zhang Qun, Feng Tong-an, et al.. Micro-Doppler effect analysis of rotating target and three-dimensional micro-motion feature extraction in OFD-LFM MIMO radar[J]. Journal of Electronics & Information Technology, 2011, 33(1):8-13. http://www.cnki.com.cn/Article/CJFDTOTAL-DZYX201101045.htm
    [8]
    罗迎, 张群, 李松, 等.基于分布式组网雷达的弹道目标三维进动特征提取[J].电子学报, 2012, 40(6):1080-1085. http://www.cnki.com.cn/Article/CJFDTOTAL-DZXU201206003.htm

    Luo Ying, Zhang Qun, Li Song, et al.. Three-dimensional precession feature extraction of ballistic targets in distributed radar networks[J]. Acta Electronica Sinica, 2012, 40(6):1080-1085. http://www.cnki.com.cn/Article/CJFDTOTAL-DZXU201206003.htm
    [9]
    雷腾, 刘进忙, 杨少春, 等.基于三站一维距离像融合的弹道目标特征提取方法研究[J].宇航学报, 2012, 33(2):228-234. http://www.cnki.com.cn/Article/CJFDTOTAL-YHXB201202013.htm

    Lei Teng, Liu Jin-mang, Yang Shao-chun, et al.. Study on feature extraction method of ballistic target based on threestation range profiles[J]. Journal of Astronautics, 2012, 33(2):228-234. http://www.cnki.com.cn/Article/CJFDTOTAL-YHXB201202013.htm
    [10]
    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. http://www.cnki.com.cn/Article/CJFDTOTAL-DZYX201412027.htm

    Han Xun, Du Lan, and Liu Hong-wei. Feature extraction of space cone-shaped target based on narrow-band radar networks[J]. Journal of Electronics & Information Technology, 2014, 36(12):2956-2962. http://www.cnki.com.cn/Article/CJFDTOTAL-DZYX201412027.htm
    [11]
    宁超, 黄璟, 黄培康.基于HRRP的进动锥体目标特征参数求解方法[J].系统工程与电子技术, 2014, 36(4):650-655. http://www.cnki.com.cn/Article/CJFDTOTAL-XTYD201404008.htm

    Ning Chao, Huang Jing, and Huang Pei-kang. Solution for characteristic parameters of precession cone-shaped target using HRRP[J]. Systems Engineering and Electronics, 2014, 36(4):650-655. http://www.cnki.com.cn/Article/CJFDTOTAL-XTYD201404008.htm
    [12]
    Fang Hong-qing, Chen Long, and Raghavendiran Srinivasan. Influence of time and length size feature selections for human activity sequences recognition[J]. ISA Transactions, 2014, 53(1):134-140. doi: 10.1016/j.isatra.2013.09.001
    [13]
    Li Po, Wang De-chun, and Wang Lu. Separation of microDoppler signals based on time frequency filter and Viterbi algorithm[J]. Signal, Image and Video Processing, 2013, 7(3):593-605. doi: 10.1007/s11760-011-0263-3
    [14]
    关永胜, 左群声, 刘宏伟.高噪声环境下微动多目标分辨[J].电子与信息学报, 2010, 32(11):2630-2635. http://www.cnki.com.cn/Article/CJFDTOTAL-DZYX201011018.htm

    Guan Yong-sheng, Zuo Qun-sheng, and Liu Hong-wei. Micro-motion targets resolution in a high noise environment[J]. Journal of Electronics & Information Technology, 2010, 32(11):2630-2635. http://www.cnki.com.cn/Article/CJFDTOTAL-DZYX201011018.htm
    [15]
    王辉, 黄成军, 姚林朋, 等.重排Cohen类时频分布用于GIS局部放电声信号时频分析[J].高电压技术, 2010, 36(11):2724-2730. http://www.cnki.com.cn/Article/CJFDTOTAL-GDYJ201011020.htm

    Wang Hui, Huang Chen-jun, Yao Lin-peng, et al.. Application of reassigned cohen class time-frequency distribution to the analysis of acoustic emission partial discharge signal for GIS[J]. High Voltage Engineering, 2010, 36(11):2724-2730. http://www.cnki.com.cn/Article/CJFDTOTAL-GDYJ201011020.htm
    [16]
    葛哲生, 陈仲生. Matlab时频分析技术及其应用[M].北京:人民邮电出版社, 2006:107-112.

    Ge Zhe-sheng and Chen Zhong-sheng. Time-Frequency Analysis Techniques of Matlab and Its Application[M]. Beijing:Posts & Telecom Press, 2006:107-112.
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