辅助变量纯方位目标跟踪算法

doi:10.3969/j.issn.1001-2400.2016.01.030

Abstract

Abstract:

To overcome the biased estimation of the pseudo-linear algorithm in bearings-only target tracking, a modified instrumental variable algorithm is proposed. In the new algorithm, the current bearings-only estimation angle is acquired by polyfitting several previous bearings angles. Then the estimated angle is used as the instrumental variable to get the motion parameters by applying the least-square method. The algorithm can achieve the theoretical unbiased estimation. Simulation results illustrate that the new modified instrumental variable algorithm has a better convergence rate and estimation accuracy than the existing research and that it is more suitable for engineering practice.

Key words: target tracking, pseudo-linear estimation, instrumental variable, control theory

CLC Number:

TN953

YU Jing;WEN Jun;LI Caicai;LI Ya'an. Modified instrumental variable method for bearings-only target tracking[J].J4, 2016, 43(1): 167-172.

References

［1］ NORTHARDT E T, BILIK I, ABRAMOVICH Y. Bearings-only Constant Velocity Target Maneuver Detection via Expected Likelihood ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(4): 2974-2988.
［2］周红波, 万福, 蔡祥. 基于改进Rao-Blackwellized粒子滤波的WSN被动目标跟踪［J］. 火力与指挥控制, 2015, 40(6): 44-47.
ZHOU Hongbo, WAN Fu, CAI Xiang. Passive Target Tracking Using Modified Rao-blackwellized Particle Filter ［J］. Fire Control ＆ Command Control, 2015, 40(6): 44-47.
［3］胡子军, 张林让, 赵珊珊, 等. 组网无源雷达高速多目标初始化及跟踪算法［J］. 西安电子科技大学学报, 2014, 41(6): 25-30.
HU Zijun, ZHANG Linrang, ZHAO Shanshan, et al. Joint Initialization of High-speed Targets via Multistatic Passive-radar Measurements and Its Tracking Algorithm ［J］. Journal of Xidian University, 2014, 41(6): 25-30.
［4］许志刚, 盛安冬. 二维单站纯方位运动目标跟踪的可观测性［J］. 兵工学报, 2007, 28(5): 617-620.
XU Zhigang, SHENG Andong. Observability for Two-dimensional Single Observer Tracking Based on Bearing-only Measurements［J］. Acta Armamentarii, 2007, 28(5): 617-620.
［5］时银水, 姬红兵, 杨柏胜. 组网无源雷达变数目多目标跟踪算法［J］. 西安电子科技大学学报, 2010, 37(2): 218-223.
SHI Yinshui, JI Hongbing, YANG Baisheng. Multiple Passive-radar Based Time-varying Number Targets Tracking ［J］. Journal of Xidian University, 2010, 37(2): 218-223.
［6］ FONG L W. Multi-sensor Track-to-track Fusion Using Simplified Maximum Likelihood Estimator for Maneuvering Target Tracking ［C］//2007 IEEE International Symposium on Industrial Electronics. Piscataway: IEEE, 2007: 36-41.
［7］ NIU R X, BLUM R S, VARSHNEY P K, et al. Target Localization and Tracking In Noncoherent Multiple-input Multiple-output Radar Systems ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(2): 1466-1489.
［8］石章松, 刘忠, 王树宗. 一种单站纯方位目标跟踪算法研究［J］. 系统工程与电子技术, 2005, 27(2): 349-352.
SHI Zhangsong, LIU Zhong, WANG Shuzong. Study of the Single Platform Bearing-only Target Tracking Algorithm ［J］. Systems Engineering and Electronics, 2005, 27(2): 349-352.
［9］ CHAN Y T, RUDINCK S W. Bearings-only and Doppler-bearing Tracking Using Instrumental Variables ［J］. IEEE Transactions on Aerospace and Electronic Systems, 1992, 28(4): 1076-1083.
［10］ CHEN J G, WANG N, MA L L, et al. Extended Target Probability Hypothesis Density Filter Based on Cubature Kalman Filter ［J］. IET Radar, Sonar ＆Navigation, 2015, 9(3): 324-332.

[1]	GU Zhaojun,CHEN Hui,WANG Jialiang,GAO Bing. Target tracking control algorithm for small size quad-rotor helicopter [J]. Journal of Xidian University, 2021, 48(5): 117-127.
[2]	LU Yan,LIAO Guisheng,HUANG Qingxiang. Cross-camera moving target tracking algorithm based on sparse representation [J]. Journal of Xidian University, 2021, 48(2): 197-204.
[3]	ZHANG Yichen,SHUI Penglang. Improved probabilistic multi-hypothesis tracker via the Poisson point process [J]. Journal of Xidian University, 2021, 48(2): 27-34.
[4]	LI Cuiyun,LI Yang,JI Hongbing,SHI Renzheng. GLMB extended target tracking based on one-step data association [J]. Journal of Xidian University, 2020, 47(5): 137-143.
[5]	ZHANG Yunpu,SHAN Ganlin,DUAN Xiusheng,WANG Meng. Scheduling of active/passive sensors for radiation control [J]. Journal of Xidian University, 2019, 46(6): 67-74.
[6]	SONG Jianfeng,MIAO Qiguang,SHEN Meng,QUAN Yining,CHEN Yusheng. Algorithm for tracking an infrared single target based on correlation filtering with multi-feature fusion [J]. Journal of Xidian University, 2019, 46(5): 142-147.
[7]	WANG Mingjie,JI Hongbing,LIU Long. Student’s t Distribution mixture CPHD filter with noise outliers [J]. Journal of Xidian University, 2019, 46(5): 134-141.
[8]	LI Cuiyun,CHEN Dongwei,SHI Renzheng. Adaptive target birth δ-generalized labeled multi-Bernoulli filtering algorithm [J]. Journal of Xidian University, 2019, 46(2): 12-16.
[9]	LIU Yuqing;XIAO Song;LI Lei. Online discriminant based superpixel tracking method [J]. Journal of Xidian University, 2018, 45(3): 13-17+168.
[10]	DENG Bing;SUN Zhengbo;HE Qing. Novel extended Kalman filter with linear-correction [J]. Journal of Xidian University, 2018, 45(3): 130-135.
[11]	LI Cuiyun;WANG Jingyi;JI Hongbing;WANG Rong. CPHD multi-target tracking algorithm with unknown model parameters [J]. Journal of Xidian University, 2017, 44(2): 37-41+184.
[12]	FANG Deliang;RAN Xiaomin;LI Ou. Energy efficient distributed sensor management algorithm [J]. Journal of Xidian University, 2017, 44(2): 171-177.
[13]	LIU Hongliang;ZHOU Shenghua;LIU Hongwei;LU Ruilian;YAN Junkun. Track quality evaluation method using amplitude information [J]. Journal of Xidian University, 2017, 44(1): 65-70.
[14]	WANG Haihuan;WANG Jun. Multi-target tracking with the cubature Kalman multi-bernoulli filter [J]. Journal of Xidian University, 2016, 43(6): 176-182.
[15]	JU Gang;YUAN Liang;LIU Xiaoyue. Neurofilament protein automatic tracking of the particle filter algorithm based on multiple methods fusion [J]. Journal of Xidian University, 2016, 43(4): 184-190.

Modified instrumental variable method for bearings-only target tracking

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 10