鲁棒自适应的机载外辐射源雷达多目标跟踪算法

doi:10.12305/j.issn.1001-506X.2024.09.02

Abstract

Abstract:

In order to address the multi-target tracking problem of airborne passive bisstatic radar (APBR) in an unknown clutter environment, a robust adaptive labelled multi-Bernoulli (RA-LMB) filter is proposed. Firstly, a model for multi-target tracking problem is established on the basis of the LMB filter algorithm framework. Then, for the problems of unknown target newborn parameters, clutter parameters and target detection probability, the measurement-driven target newborn model and the online parameter estimation method based on the cardinality-balanced multi-target multi-Bernoulli estimator are proposed. Finally, considering the non-linearity of APBR measurements, the sequential Monte Carlo method is used to implement the proposed algorithm. The experimental results show that the proposed filter is able to estimate the multi-target trajectory using the APBR measurements, and the performance in the unknown clutter environment can be approximated to the generalized LMB filter with known clutter parameters, with better robustness.

Key words: passive bistatic radar, multi-target tracking, robust tracking, labeled multi-Bernoulli (LMB) filter, random finite set (RFS)

CLC Number:

TN957.51

Jingyuan SHAN, Yu LU, Hanyu LING. Robust adaptive multi-target tracking algorithm for airborne passive bistatic radar[J]. Systems Engineering and Electronics, 2024, 46(9): 2902-2915.

Figures/Tables 15

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References 33

1	PAINE S , O'HAGAN D W , INGGS M , et al. Evaluating the performance of FM-Based PCL radar in the presence of jamming[J]. IEEE Trans.on Aerospace and Electronic Systems, 2019, 55 (2): 631- 643. doi: 10.1109/TAES.2018.2858158
2	MAHFOUDIA O , HORLIN F , NEYT X . Pilot-based detection for DVB-T passive coherent location radars[J]. IET Radar, Sonar & Navigation, 2020, 14 (6): 845- 851.
3	KAISER S A , CHRISTIANSON A J , NARAYANAN R M . Global positioning system processing methods for GPS passive coherent location[J]. IET Radar, Sonar & Navigation, 2017, 11 (9): 1406- 1416.
4	COLONE F , MARTELLI T , BONGIOANNI C , et al. WiFi-based PCL for monitoring private airfields[J]. IEEE Aerospace and Electronic Systems Magazine, 2017, 32 (2): 22- 29. doi: 10.1109/MAES.2017.160022
5	万显荣, 易建新, 占伟杰, 等. 基于多照射源的被动雷达研究进展与发展趋势[J]. 雷达学报, 2020, 9 (6): 939- 958.
	WAN X R , YI J X , ZHAN W J , et al. Research progress and development trend of the multi-illuminator-based passive radar[J]. Journal of Radars, 2020, 9 (6): 939- 958.
6	COLONE F , FILIPPINI F , PASTINA D . Passive radar: past, present, and future challenges[J]. IEEE Aerospace and Electronic Systems Magazine, 2023, 38 (1): 54- 69. doi: 10.1109/MAES.2022.3221685
7	SUI J X , WANG J , ZUO L , et al. Cascaded least square algorithm for strong clutter removal in airborne passive radar[J]. IEEE Trans.on Aerospace and Electronic Systems, 2022, 58 (1): 679- 696. doi: 10.1109/TAES.2021.3103705
8	ROSENBERG L , DUK V . Land clutter statistics from an airborne passive bistatic radar[J]. IEEE Trans.on Geoscience and Remote Sensing, 2022, 60, 5104009.
9	WOJACZEK P , COLONE F , CRISTALLINI D , et al. Reciprocal- filter-based STAP for passive radar on moving platforms[J]. IEEE Trans.on Aerospace and Electronic Systems, 2019, 55 (2): 967- 988. doi: 10.1109/TAES.2018.2867688
10	郭云飞, 钱文杲, 袁继成. 基于KLD-JPDA的多目标无源协同定位算法[J]. 传感技术学报, 2020, 33 (6): 889- 894. doi: 10.3969/j.issn.1004-1699.2020.06.016
	GUO Y F , QIAN W G , YUAN J C . A KLD-JPDA based multitarget passive coherent location algorithm[J]. Chinese Journal of Sensors and Actuators, 2020, 33 (6): 889- 894. doi: 10.3969/j.issn.1004-1699.2020.06.016
11	郭云飞, 滕方成, 曾泽斌. 基于QS-ML-PMHT的多目标无源协同定位方法[J]. 传感技术学报, 2016, 29 (11): 1753- 1758. doi: 10.3969/j.issn.1004-1699.2016.11.021
	GUO Y F , TENG F C , ZENG Z B . A QS-ML-PMHT based multitarget passive coherent location method[J]. Chinese Journal of Sensors and Actuators, 2016, 29 (11): 1753- 1758. doi: 10.3969/j.issn.1004-1699.2016.11.021
12	李晓花, 李亚安, 金海燕, 等. 三维数据关联情况下外辐射源雷达多目标跟踪研究[J]. 电子与信息学报, 2021, 43 (10): 2840- 2847. doi: 10.11999/JEIT210620
	LI X H , LI Y A , JIN H Y , et al. Multi-static passive radar multi-target tracking under target-measurement-illuminator data association uncertainty[J]. Journal of Electronics & Information Technology, 2021, 43 (10): 2840- 2847. doi: 10.11999/JEIT210620
13	曾雅俊, 王俊, 魏少明, 等. 分布式多传感器多目标跟踪方法综述[J]. 雷达学报, 2023, 12 (1): 197- 213.
	ZENG Y J , WANG J , WEI S M , et al. Review of the method for distributed multi-sensor multi-target tracking[J]. Journal of Radars, 2023, 12 (1): 197- 213.
14	LI G , BATTISTELLI G , CHISCI L , et al. Distributed joint detection, tracking, and classification via labeled multi-Bernoulli filtering[J]. IEEE Trans.on Cybernetics, 2024, 54 (3): 1429- 1441. doi: 10.1109/TCYB.2022.3208038
15	VO B N , VO B T , PHUNG D . Labeled random finite sets and the Bayes multi-target tracking filter[J]. IEEE Trans.on Signal Processing, 2014, 62 (24): 6554- 6567. doi: 10.1109/TSP.2014.2364014
16	KAI D , TIANCHENG L , YONGFENG Z , et al. Recent advances in multi-sensor multitarget tracking using random finite set[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22 (1): 5- 25.
17	PIKORA K, EHLERS F. Analysis of the FKIE passive radar data set with GMPHD and GMCPHD[C]//Proc. of the 16th International Conference on Information Fusion, 2013: 272-279.
18	郭云飞, 潘金星, 才智. 基于多帧杂波稀疏度估计的无源协同定位[J]. 控制理论与应用, 2018, 35 (7): 981- 987.
	GUO Y F , PAN J X , CAI Z . Passive coherent location with multi-scan clutter sparsity estimation[J]. Control Theory & Applications, 2018, 35 (7): 981- 987.
19	BERTHILLOT C, SANTORI A, RABASTE O, et al. DVB-T airborne passive radar: clutter analysis and experimental results[C]//Proc. of the IEEE Radar Conference, 2019.
20	YANG P C, TU Z L, YANG J H. A robust space-time clutter cancellation algorithm for airborne passive radar[C]//Proc. of the IEEE International Conference on Signal, Information and Data Processing, 2019.
21	DUK V, CRISTALLINI D, WOJACZEK P, et al. Statistical analysis of clutter for passive radar on an airborne platform[C]// Proc. of the International Radar Conference, 2019.
22	MAHLER R P S , VO B T , VO B N . CPHD filtering with unknown clutter rate and detection profile[J]. IEEE Trans.on Signal Processing, 2011, 59 (8): 3497- 3513. doi: 10.1109/TSP.2011.2128316
23	GUO Y , THARMARASA R , KIRUBARAJAN T , et al. Passive coherent location with unknown transmitter states[J]. IEEE Trans.on Aerospace and Electronic Systems, 2017, 53 (1): 148- 168. doi: 10.1109/TAES.2017.2649739
24	VO B T , VO B N . Labeled random finite sets and multi-object conjugate priors[J]. IEEE Trans.on Signal Processing, 2013, 61 (13): 3460- 3475. doi: 10.1109/TSP.2013.2259822
25	REUTER S , VO B T , VO B N , et al. The labeled multi-Bernoulli filter[J]. IEEE Trans.on Signal Processing, 2014, 62 (12): 3246- 3260. doi: 10.1109/TSP.2014.2323064
26	JING T , TIAN W , HUANG G M , et al. Observability and estimability of passive radar with unknown illuminator states using different observations[J]. Journal of Systems Engineering and Electronics, 2020, 31 (6): 1193- 1205. doi: 10.23919/JSEE.2020.000092
27	RISTIC B , CLARK D , VO B N , et al. Adaptive target birth intensity for PHD and CPHD filters[J]. IEEE Trans.on Aerospace and Electronic Systems, 2012, 48 (2): 1656- 1668. doi: 10.1109/TAES.2012.6178085
28	CHEN X , THARMARASA R , PELLETIER M , et al. Integrated clutter estimation and target tracking using Poisson point processes[J]. IEEE Trans.on Aerospace and Electronic Systems, 2012, 48 (2): 1210- 1235. doi: 10.1109/TAES.2012.6178058
29	VO B T , VO B N , HOSEINNEZHAD R , et al. Robust multi-Bernoulli filtering[J]. IEEE Journal of Selected Topics in Signal Processing, 2013, 7 (3): 399- 409. doi: 10.1109/JSTSP.2013.2252325
30	VO B T , VO B N , CANTONI A . The cardinality balanced multi-target multi-Bernoulli filter and its implementations[J]. IEEE Trans.on Signal Processing, 2009, 57 (2): 409- 423. doi: 10.1109/TSP.2008.2007924
31	DO C T , DAT NGUYEN T T , MORATUWAGE D , et al. Multi-object tracking with an adaptive generalized labeled multi- Bernoulli filter[J]. Signal Processing, 2022, 196, 108532. doi: 10.1016/j.sigpro.2022.108532
32	VO B N , VO B T , HOANG H G . An efficient implementation of the generalized labeled multi-Bernoulli filter[J]. IEEE Trans.on Signal Processing, 2017, 65 (8): 1975- 1987. doi: 10.1109/TSP.2016.2641392
33	BEARD M , VO B T , VO B N . A solution for large-scale multi-object tracking[J]. IEEE Trans.on Signal Processing, 2020, 68, 2754- 2769. doi: 10.1109/TSP.2020.2986136

仿真对象	初始状态	存活时段/s
目标1	(-14 950 m, 150 m/s, 12 550 m, -65 m/s)	1~90
目标2	(-15 050 m, 120 m/s, 12 450 m, -15 m/s)	5~100
目标3	(10 550 m, -25 m/s, 16 550 m, 100 m/s)	10~90
目标4	(10 450 m, -130 m/s, 16 550 m, -85 m/s)	10~75
目标5	(5 950 m, -100 m/s, 4 450 m, 120 m/s)	15~80
目标6	(6 050 m, -140 m/s, 4 450 m, 80 m/s)	20~75
目标7	(-12 450 m, 150 m/s, 5 950 m, 80 m/s)	30~90
目标8	(-12 550 m, 120 m/s, 6 050 m, 20 m/s)	50~100
T1	(0 m, 0 m/s, 18 000 m, 0 m/s)	-
T2	(15 000 m, 0 m/s, 10 000 m, 0 m/s)	-
T3	(-15 000 m, 0 m/s, 1 000 m, 0 m/s)	-
R	(-10 000 m, 200 m/s, 1 000 m, 10 m/s)	-

算法	杂波率估计平均值	检测概率估计平均值
RA-LMB	37.67	0.89
DP-GLMB	36.75	0.86

仿真对象	初始状态	转弯率(rad/s)	存活时段/s
目标1	(-14 950 m, 150 m/s, 12 550 m, -65 m/s)	π/1 080	1~90
目标2	(-15 050 m, 120 m/s, 12 450 m, -15 m/s)	π/360	5~100
目标3	(10 550 m, -25 m/s, 16 550 m, -100 m/s)	π/1 080	10~90
目标4	(10 450 m, -130 m/s, 16 550 m, -85 m/s)	-π/360	10~75
目标5	(5 950 m, -100 m/s, 4 450 m, 120 m/s)	-π/1 080	15~80
目标6	(6 050 m, -140 m/s, 4 450 m, 80 m/s)	π/270	20~75
目标7	(-12 450 m, 150 m/s, 5 950 m, 80 m/s)	-π/540	30~90
目标8	(-12 550 m, 120 m/s, 6 050 m, 120 m/s)	π/180	50~100
T1	(0 m, 0 m/s, 18 000 m, 0 m/s)	—	-
T2	(15 000 m, 0 m/s, 10 000 m, 0 m/s)	—	-
T3	(-15 000 m, 0 m/s, 1 000 m, 0 m/s)	—	-
R	(-10 000 m, 200 m/s, 1 000 m, 10 m/s)	—	-

算法	杂波率估计平均值	检测概率估计平均值
RA-LMB	36.81	0.89
DP-GLMB	36.61	0.88

[1]	Linhai JIANG, Baichun GONG, Chuankai LIU, Yang YANG, Renyong ZHANG. Space multi-target tracking method for space-based distributedpassive detection [J]. Systems Engineering and Electronics, 2024, 46(8): 2789-2797.
[2]	Siyi YAO, Wanchun LI, Lin GAO, Huaguo ZHANG, Hangwei HU. Multi-sensor multi-target tracking based on distributed PMHT [J]. Systems Engineering and Electronics, 2024, 46(7): 2184-2190.
[3]	Yaling ZHUO, Xiang LI, Lei ZUO, Juan HU. Power allocation algorithm with random data packet loss in netted radar [J]. Systems Engineering and Electronics, 2024, 46(6): 1957-1966.
[4]	Meibin QI, Shuo ZHUANG, Jingjing HU, Yanfang YANG, Yuankui HU. Resolvable group target tracking based on joint GLMB filter [J]. Systems Engineering and Electronics, 2024, 46(4): 1212-1219.
[5]	Shuya ZENG, Bin RAO. Ballistic target association method based on dynamic conservation law [J]. Systems Engineering and Electronics, 2024, 46(2): 684-691.
[6]	Wenhao BI, Jie ZHOU, An ZHANG, Li LIU. JPDA algorithm based on maximum entropy fuzzy clustering in clutter environment [J]. Systems Engineering and Electronics, 2023, 45(7): 1920-1927.
[7]	Zhengwei LIU, Ying CHEN, Yaobing LU. PHD filter for small-angle crossing of multi-target trajectories [J]. Systems Engineering and Electronics, 2023, 45(4): 982-990.
[8]	Lei AN, Zhaorui LI, Bing JI. Non-myopic scheduling method for mobile active/passive sensor in clutter environment [J]. Systems Engineering and Electronics, 2023, 45(1): 165-174.
[9]	Huaisheng XIN, Chen CAO. Interacting multiple model based grouping δ-generalized labeledmulti-Bernoulli algorithm [J]. Systems Engineering and Electronics, 2022, 44(4): 1128-1138.
[10]	Zizhuang SONG, Jiawei YANG, Dongfang ZHANG, Shiqiang WANG, Shuo ZHANG. Real-time infrared multi-class multi-target anchor-free tracking network [J]. Systems Engineering and Electronics, 2022, 44(2): 401-409.
[11]	Lifan YIN, Yiqun ZHANG, Shuo WANG, Chenggang SUN. A survey on histogram probabilistic multi-hypothesis tracker technique [J]. Systems Engineering and Electronics, 2021, 43(11): 3118-3125.
[12]	Zhengjie LI, Junwei XIE, Haowei ZHANG, Zhaojian ZHANG. Joint power and bandwidth allocation algorithm based on collocated MIMO radar [J]. Systems Engineering and Electronics, 2020, 42(5): 1041-1049.
[13]	Xiaodong LU, Tao CUI, Wei WANG, Cheng CHENG. Multi-target labeled multi-Bernoulli filter with time-delay and registration errors [J]. Systems Engineering and Electronics, 2020, 42(4): 904-911.
[14]	Peng WANG, Mei YANG, Jiancheng ZHU, Rusheng JU, Ge LI. Dynamic data driven modeling and simulation method for digital twin [J]. Systems Engineering and Electronics, 2020, 42(12): 2779-2786.
[15]	Luo ZUO, Jun WANG, Gang CHEN, Yaqi DENG, Yuanyuan WEN. Super-resolution DOA estimation method of passive bistatic radar based on TLS-CS [J]. Systems Engineering and Electronics, 2020, 42(1): 61-66.

Robust adaptive multi-target tracking algorithm for airborne passive bistatic radar

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