杂波环境下基于粒子滤波的微弱扩展目标检测前跟踪算法

吴孙勇; 薛秋条; 朱圣棋; 闫青竹; 孙希延

doi:10.12000/JR16128

杂波环境下基于粒子滤波的微弱扩展目标检测前跟踪算法

DOI: 10.12000/JR16128

吴孙勇^①,②,,
薛秋条^①, ,,
朱圣棋^③,
闫青竹^①,
孙希延^②

①.
桂林电子科技大学数学与计算科学学院桂林 541004
②.
广西精密导航技术与应用重点实验室桂林 541004
③.
西安电子科技大学雷达信号处理重点实验室西安 710071

基金项目: 国家自然科学基金项目(61261033, 61561016, 61362005)，广西自然科学基金资助项目(2014GXNSFAA118352, 2014GXNSFBA118280, 2016GXNSFAA380073)，广西精密导航技术与应用重点实验室开放基金项目(DH201502)，广西密码学与信息安全重点实验室研究课题(GCIS201611)

详细信息

作者简介:
吴孙勇(1981–)，男，广西桂林人，博士，现为桂林电子科技大学数学与计算科学学院副教授，研究方向为雷达信号处理、随机有限集、粒子滤波。E-mail: wusunyong121991@163.com

薛秋条(1978–)，女，河南灵宝人，现为桂林电子科技大学数学与计算科学学院讲师，研究方向为微弱目标检测，随机有限集、粒子滤波。E-mail: 475561774@qq.com

通讯作者:
薛秋条 475561774@qq.com

中图分类号: TP391
计量
- 文章访问数: 2964
- HTML全文浏览量: 690
- PDF下载量: 939
- 被引次数: 0
出版历程
- 收稿日期: 2016-11-18
- 修回日期: 2017-01-26
- 网络出版日期: 2017-06-28

Track-Before-Detect Algorithm for Weak Extended Target Based on Particle Filter under Clutter Environment

Wu Sunyong^{①,②
,},
Xue Qiutiao^{①
, ,},
Zhu Shengqi^③,
Yan Qingzhu^①,
Sun Xiyan^②

①.
School of Computational Science and Mathematics, Guilin University of Electronic Technology, Guilin 541004, China
②.
Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin 541004, China
③.
National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China

Funds: The National Natural Science Foundation of China (61261033, 61561016, 61362005), The Natural Science Foundation of Guangxi (2014GXNSFAA118352, 2014GXNSFBA118280, 2016GXNSFAA380073), Guangxi Key Laboratory of Precision Navigation Technology and Application (DH201502), Guangxi Key Laboratory of Cryptography and Information Security (GCIS201611)

摘要

摘要: 针对杂波环境下微弱扩展目标的实时检测和跟踪问题，该文提出一种基于粒子滤波的检测前跟踪(TBD)算法。该算法以杆状物体作为研究对象，通过划分距离和方位上的单元格，提出了不同区域内含有Weibull杂波的量测模型。在TBD框架下，将二进制目标存在变量和目标形状参数加入到状态向量中，通过抽样得到散射点集合，并利用粒子滤波实现杂波环境下对扩展目标状态和形状参数的检测和估计。仿真实验表明，该算法具有较好的稳定性。
- 杂波 /
- Weibull分布 /
- 粒子滤波 /
- 检测前跟踪 /
- 扩展目标
Abstract: The Track-Before-Detect (TBD) algorithm based on the particle filter is proposed for weak extended target detection and tracking in low signal to clutter noise radio. The rod-shaped object is analyzed by dividing the cell on range and azimuth under the Weibull clutter. On the basis of a point target, the likelihood function and particle weights can be obtained by the target spread function. In the TBD algorithm, the binary target variable and the target shape parameters is added to the state vector and the scattering points in the sample collection is given based on the particle filter, which can detect and estimate the target state and the shape parameters under the clutter environment. Simulation results show that the stability of the algorithm is very good.
- Clutter /
- Weibull distribution /
- Particle filter /
- Track-Before-Detect (TBD) /
- Extended target

HTML全文

图 1 目标散射点

Figure 1. Target scatter point

下载: 全尺寸图片幻灯片

图 2 扩展目标真实航迹图

Figure 2. Real track of extended target

下载: 全尺寸图片幻灯片

图 3 目标的平均存在概率

Figure 3. Average existence probability of target

下载: 全尺寸图片幻灯片

图 4 目标位置的RMSE

Figure 4. RMSE of target position

下载: 全尺寸图片幻灯片

图 5 目标长度的RMSE

Figure 5. RMSE of target length

下载: 全尺寸图片幻灯片

参考文献(19)

[1]	Rollason M and Salmond D J. A particle filter for track-before-detect of a target with unknown amplitude[J]. IEEE Digest, 2001, 3(4): 36–41.
[2]	Rutten M G, Gordon N J, Maskell S, et al.. Recursive track-before-detect with target amplitude fluctuations[J]. IEE Proceedings-Radar, Sonar and Navigation, 2005, 152(5): 345–352. doi: 10.1049/ip-rsn:20045041
[3]	TSOU Haiping and Yan T&Y. The extended-image tracking technique based on the maximum likelihood estimation[R]. New York: Jet Propulsion Laboratory, California Institute of Technology, 1999.
[4]	Gilholm K and Salmond D. Spatial distribution model for tracking extended objects[J]. IEE Proceedings-Radar, Sonar and Navigation, 2005, 152(5): 364–371. doi: 10.1049/ip-rsn:20045114
[5]	Feldmann M, Franken D, Koch W, et al.. Tracking of extended objects and group targets using random matrices[J]. IEEE Transactions on Signal Processing, 2011, 59(4): 1409–1420. doi: 10.1109/TSP.2010.2101064
[6]	Fan L, Zhang X, Shi J, et al.. Track-before-detect procedures for detection of extended object[J]. EURASIP Journal on Advances in Signal Processing, 2011, 2011(1): 1–6. doi: 10.1186/1687-6180-2011-1
[7]	吴兆平, 朱凯然, 苏涛, 等. 采用改进粒子滤波的雷达扩展目标检测前跟踪[J]. 西安电子大学学报(自然科学版), 2011, 38(2): 99–104. http://www.cnki.com.cn/Article/CJFDTOTAL-XDKD201102019.htm Wu Zhao-ping, Zhu Kai-ran, Su Tao, et al.. Extended radar target tracking before detection using the modified particle filter[J]. Journal of Xidian University (Natural Science Edition), 2011, 38(2): 99–104. http://www.cnki.com.cn/Article/CJFDTOTAL-XDKD201102019.htm
[8]	于洪波, 王国红, 王娜. 基于粒子滤波的扩展目标检测前跟踪算法[J]. 电光与控制, 2010, 17(8): 41–44. http://cdmd.cnki.com.cn/Article/CDMD-10336-1015564804.htm Yu Hong-bo, Wang Guo-hong, and Wang Na. A track-before-detect algorithm for tracking extended targets based on particle filter[J]. Electronics Optics & Control, 2010, 17(8): 41–44. http://cdmd.cnki.com.cn/Article/CDMD-10336-1015564804.htm
[9]	于洪波, 曹倩, 杨志刚. 一种基于扩展模型的隐身目标检测前跟踪方法[J]. 海军航空工程学院学报, 2014, 29(6): 569–574. doi: 10.7682/j.issn.1673-1522.2014.06.012 Yu Hong-bo, Chao Qian, and Yang Zhi-gang. A method of stealthy target track-before-detect based on extended model[J]. Journal of Naval Aeronautical and Astronautical University, 2014, 29(6): 569–574. doi: 10.7682/j.issn.1673-1522.2014.06.012
[10]	雷刚, 邵可然, 李燕斌, 等. 威布尔杂波背景下的恒虚警检测[J]. 华中科技大学学报(自然科学版), 2008, 36(3): 129–132. http://www.cnki.com.cn/Article/CJFDTOTAL-HZLG200803043.htm Lei Gang, Shao Ke-ran, Li Yan-bin, et al.. Constant false alarm rate detection against Weibull clutter background[J]. Journal of Huazhong University of Science & Technolngy (Natural Science Edition), 2008, 36(3): 129–132. http://www.cnki.com.cn/Article/CJFDTOTAL-HZLG200803043.htm
[11]	陈建军, 黄孟俊, 邱伟, 等. 海杂波下的双门限恒虚警目标检测新方法[J]. 电子学报, 2011, 39(9): 2135–2141. http://www.cnki.com.cn/Article/CJFDTOTAL-DZXU201109031.htm Chen Jian-jun, Huang Meng-jun, Qiu Wei, et al.. A novel method for CFAR detector with bi-thresholds in sea clutter[J]. Acta Electronica Sinica, 2011, 39(9): 2135–2141. http://www.cnki.com.cn/Article/CJFDTOTAL-DZXU201109031.htm
[12]	郑建军, 吕世芳. 相关Weibull分布雷达气象杂波模拟[J]. 微计算机信息, 2011, 27(9): 210–212. http://www.cnki.com.cn/Article/CJFDTOTAL-WJSJ201109083.htm Zheng Jian-jun and Lu Shi-fang. Modeling of correlated Weibull radar weather clutter[J]. Microcomputer Information, 2011, 27(9): 210–212. http://www.cnki.com.cn/Article/CJFDTOTAL-WJSJ201109083.htm
[13]	武江涛. 雷达扩展目标跟踪算法研究[D]. 西安电子科技大学, 2014. Wu Jiang-tao. Research of radar extended target tracking[D]. Xidian University, 2014.
[14]	Wen C Y and Lee C H. Point spread functions and their applications to forensic image restoration[J]. Forensic Science Journal, 2002, 3(1): 1–16.
[15]	Boers Y and Driessen J N. A track before detect approach for extended objects[C]. 9th International Conference on Information Fusion, 2006.
[16]	Abraham D A, Gelb J M, and Oldag A W. Background and clutter mixture distributions for active sonar statistics[J]. IEEE Journal of Oceanic Engineering, 2011, 36(2): 231–247. doi: 10.1109/JOE.2010.2102150
[17]	Gilholm K and Salmond D. Spatial distribution model for tracking extended model for tracking extended objects[J]. IEE Proceedings-Radar, Sonar and Navigation, 2005, 152(5): 364–371. doi: 10.1049/ip-rsn:20045114
[18]	Boers Y, Driessen H, and Torstensson J. A track before detect algorithm for tracking extended targets[J]. IEE Procee-dings- Radar, Sonar and Navigation, 2006, 153(4): 345–351. doi: 10.1049/ip-rsn:20050123
[19]	吴孙勇, 廖桂生, 杨志伟. 基于改进粒子滤波的微弱目标检测前跟踪算法[J]. 系统工程与电子技术, 2010, 32(9): 1875–1879. http://cdmd.cnki.com.cn/Article/CDMD-10614-1012472279.htm Wu Sun-yong, Liao Gui-sheng, and Yang Zhi-wei. Improved track-before-detect algorithm for weak targets based on particle filter[J]. Systems Engineering and Electronics, 2006, 153(4): 345–351. http://cdmd.cnki.com.cn/Article/CDMD-10614-1012472279.htm