基于改进概率假设密度滤波器的非合作双基地雷达目标跟踪

doi:10.12305/j.issn.1001-506X.2023.07.10

Abstract

Abstract:

To solve the problem of low detection probability and high clutter rate in target tracking for noncooperative bistatic radar, an improved probability hypothesis density filter is proposed in this paper. Firstly, a new method of track identification and state estimation is proposed. Secondly, the survival probability is defined as a variable related to the target state. Thirdly, whether each candidate target is measured at each time is recorded, and real target and false target caused by clutter are distinguished using sequential probability ratio test. Finally, the target state is estimated offline. Simulation experiment results indicate that the proposed algorithm significantly improves the performance of target tracking for noncooperative bistatic radar, and can deal with the problem of low detection probability and high clutter rate effectively.

Key words: noncooperative bistatic radar, target tracking, improved probability hypothesis density filter, sequential probability ratio test

CLC Number:

TN953

Sen WANG, Qinglong BAO, Jiameng PAN, Qian ZHU. Target tracking for noncooperative bistatic radar based on improved probability hypothesis density filter[J]. Systems Engineering and Electronics, 2023, 45(7): 2002-2009.

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References 30

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Target tracking for noncooperative bistatic radar based on improved probability hypothesis density filter

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目标	初始状态均值	出生时间/s	死亡时间/s
1	[4 000, －100, 4 000, 0]^T	1	77
2	[－2 000, 80, 2 000, 80]^T	10	68
3	[0, 40, 6 428, －40]^T	14	94