基于多维分配的多普勒盲区目标点迹-航迹关联方法

doi:10.12305/j.issn.1001-506X.2023.10.12

Abstract

Abstract:

The inherent Doppler blind zone (DBZ) of airborne early warning radar can bring out target track termination with the worse effect in multi-target and clutter environment. Based on two-dimension assignment algorithm with DBZ information, a new plot-to-track association method based on multi-dimension assignment algorithm is proposed. Firstly, the evolution information of target track is used enough, and the radar's continuous multi-frame measurement data are used to perform sliding window processing. Secondly, the cost function of multi-dimension assignment is constructed. Finally, the solution of function on the condition of minimal cost is used as the targets plot-to-track assignment solution. The simulation results show that this method has further descent of track termination rate compared with two-dimension assignment algorithm in multi-target and clutter environment with DBZ.

Key words: airborne early-warning radar, Doppler blind zone (DBZ), plot-to-track association, multi-dimension assignment, cost function, track termination rate

CLC Number:

TN957

Wei HAN, Guoshi WANG, Kai YAN, Yawei SONG. Target plot-to-track association method in Doppler blind zone based on multi-dimension assignment[J]. Systems Engineering and Electronics, 2023, 45(10): 3091-3097.

Figures/Tables 7

Fig.1

Fig.2

Fig.3

Fig.4

Table 1

Fig.5

Table 2

References 31

1	KOCH W, KLEMM R. Ground target tracking with STAP radar[C]//Proc. of the IEEE Proceedings of Radar, Sonar and Navigation, 2001: 173-185.
2	MERTENS M, KIRUBARAJAN T, KOCH W. Doppler blind zone analysis for ground target tracking with bistatic airborne GMTI radar[C]//Proc. of the IEEE 15th International Confe-rence on Information Fusion, 2012: 2331-2338.
3	HAN W , TANG Z Y , ZHU Z B . Method of target tracking with Doppler blind zone constraint[J]. Journal of Systems Engineering and Electronics, 2013, 24 (6): 889- 898. doi: 10.1109/JSEE.2013.00103
4	XU G G , SHAN G L , DUAN X S . Sensor scheduling for ground maneuvering target tracking in presence of detection blind zone[J]. Journal of Systems Engineering and Electronics, 2013, 24 (6): 889- 898. doi: 10.1109/JSEE.2013.00103
5	GORDON N , RISTIC B . Tracking airborne targets occasionally hidden in the blind Doppler[J]. Digital Signal Processing, 2002, 12, 383- 393. doi: 10.1006/dspr.2002.0439
6	ZAUGG D A, SAMUEL A A, WAAGEN D E, et al. A combined Kalman/particle filter for improved tracking of beam aspect target[C]//Proc. of the IEEE Workshop on Statistical Signal Processing, 2003: 535-538.
7	DU S C , SHI Z G , ZANG W , et al. Using interacting multiple model particle filter to track airborne targets hidden in blind Doppler[J]. Journal of Zhejiang University Science A, 2007, 8 (8): 1277- 1282. doi: 10.1631/jzus.2007.A1277
8	SHI Z G , HONG S H , CHEN K S . Tracking airborne targets hidden in blind doppler using current statistical model particle filter[J]. Progress in Electromagnetics Research, 2008, 82, 227- 240. doi: 10.2528/PIER08012407
9	GAO L, JIANG J, LAN J Q, et al. An improved particle filter based on 4D discontinuous measurements[C]//Proc. of the International Conference on Intelligent Control and Information Processing, 2010: 25-29.
10	CLARK J M C, KOUNTOURIOTIS P A, VINTER R B. A new algorithm for GMTI tracking problems, subject to a Doppler blind zone constraint[C]//Proc. of the IET Seminar of Target Tracking Data Fusion: Algorithms Application, 2008, 1: 49-58.
11	CLARK J M C , KOUNTOURIOTIS P A , VINTER R B . A new Gaussian mixture algorithm for GMTI tracking under a minimum detectable velocity constraint[J]. IEEE Trans. on Automatic Control, 2009, 54 (20): 439- 447.
12	KIRUBARAJAN T , BAR-SHALOM Y . Tracking evasive move-stop-move targets with a GMTI radar using a VS-IMM estimator[J]. IEEE Trans. on Aerospace and Electronic Systems, 2003, 39 (3): 1098- 1103. doi: 10.1109/TAES.2003.1238762
13	ZHANG S , BAR-SHALOM Y . Tracking move-stop-move target with state-dependent mode transition probabilities[J]. IEEE Trans. on Aerospace and Electronic Systems, 2011, 47 (3): 568- 572.
14	ZHANG S , BAR-SHALOM Y . Tracking segment association for GMTI tracks of evasive move-stop-move maneuvering targets[J]. IEEE Trans. on Aerospace and Electronic Systems, 2011, 47 (3): 1098- 1103.
15	韩伟, 汤子跃, 朱振波. 一种多普勒盲区条件下的多假设运动模型目标跟踪方法[J]. 电子与信息学报, 2013, 35 (3): 516- 523.
	HAN W , TANG Z Y , ZHU Z B . A method of tracking targets in Doppler blind zone based on multiple-hypothesis motion mo-dels[J]. Journal of Electronics & Information Technology, 2013, 35 (3): 516- 523.
16	韩伟, 汤子跃, 朱振波. 利用ESM方位信息的多普勒盲区目标跟踪方法[J]. 系统工程与电子技术, 2013, 35 (8): 1650- 1656.
	HAN W , TANG Z Y , ZHU Z B . Target tracking method using bearing information of ESM in Doppler blind zone[J]. Systems Engineering and Electronics, 2013, 35 (8): 1650- 1656.
17	尉强, 刘忠. 多普勒盲区下基于GM-PHD的雷达多目标跟踪算法[J]. 雷达学报, 2017, 7 (1): 34- 42.
	WEI Q , LIU Z . A radar multi-target tracking algorithm based on Gaussian mixture PHD filter under Doppler blind zone[J]. Journal of Radars, 2017, 7 (1): 34- 42.
18	魏立兴, 孙合敏, 吴卫华, 等. 多普勒盲区下基于GM-CBMeMBer的多目标跟踪算法[J]. 雷达科学与技术, 2018, 16 (5): 559- 566.
	WEI L X , SUN H M , WU W H , et al. GM-CBMeMBer-based multi-target tracking in the presence of Doppler blind zone[J]. Radar Science and Technology, 2018, 16 (5): 559- 566.
19	ZHANG S , BAR-SHALOM Y . Tracking segment association for GMTI tracks of evasive move-stop-move maneuvering targets[J]. IEEE Trans. on Aerospace and Electronic Systems, 2011, 47 (3): 1098- 1103.
20	PANNETIER B, DEZERT J. Track segment association with classification information[C]//Proc. of the IEEE Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2012: 60-65.
21	韩伟, 陈传生, 李志淮. 一种多普勒盲区下航迹片段关联方法[J]. 雷达科学与技术, 2020, 18 (3): 239- 246.
	HAN W , CHEN C S , LI Z H . A method of track segment association in Doppler blind zone[J]. Radar Science and Techno-logy, 2020, 18 (3): 239- 246.
22	LIN L, KIRUBARAJA T Y, BAR-SHALOM Y. New assignment-based data association for tracking move-stop-move targets[C]//Proc. of the 5th International Conference on Information Fusion, 2002: 943-950.
23	LIN L , BAR-SHALOM Y , KIRUBARAJA T . New assignment-based data association for tracking move-stop-move targets[J]. IEEE Trans. on Aerospace and Electronic Systems, 2004, 40 (2): 714- 725.
24	王渊, 韩伟. 多普勒盲区条件下的目标点迹-航迹关联方法[J]. 火力与指挥控制, 2020, 45 (5): 58- 63.
	WANG Y , HAN W . A new plot-track correlation method of multi-target on the condition of Doppler blind zone[J]. Fire Control & Command Control, 2020, 45 (5): 58- 63.
25	王渊. 多普勒盲区下的多目标数据关联方法研究[D]. 武汉: 武汉理工大学, 2019: 43-44.
	WANG Y. Research on methods of multi-target data association on the condition of Doppler blind zone[D]. Wuhan: Wuhan University of Technology, 2019: 43-44.
26	POORE A , ROBERTSON A J . A new class of Lagrangian relaxation based algorithms for a class of multidimensional assignment problems[J]. Computational Optimization and Applications, 1997, 8, 129- 150.
27	KIRUBARAJA T , BAR-SHALOM Y , PATTIPATI K R , et al. Ground target tracking with topography-based variable structure IMM estimator[J]. IEEE Trans. on Aerospace and Electronics Systems, 2000, 36 (1): 26- 46.
28	DEB S , YEDDANAPUDI M , PATTIPATI K , et al. A gene-ralized S-D assignment algorithm for multisensor-multitarget state estimation[J]. IEEE Trans. on Aerospace and Electronic Systems, 1997, 33 (3): 523- 538.
29	PATTIPATI K R , DEB S , BAR-SHALOM Y , et al. A new relaxation algorithm and passive sensor data association[J]. IEEE Trans. on Automatic Control, 1992, 37 (1): 198- 213.
30	DU S C , SHI Z G , ZANG W , et al. Using interacting multiple model particle filter to track airborne targets hidden in blind Doppler[J]. Journal of Zhejiang University Science A, 2007, 8 (8): 1277- 1282.
31	韩伟, 晏凯, 周升响. 一种改进的多普勒盲区条件下的航迹撤销准则[J]. 空军预警学院学报, 2019, 33 (3): 203- 206.
	HAN W , YAN K , ZHOU S X . An improved track deletion criterion for Doppler blind zone[J]. Journal of Air Force Early Warning Academy, 2019, 33 (3): 203- 206.

算法	平均位置估计均方根误差
算法	P_fa=0.01	P_fa=0.001
单类空量测法(二维分配)	1 063.4	983.6
两类空量测法(二维分配)	723.4	642.8
两类空量测法(三维分配)	642.3	512.3

算法	N_b次中断出现的频数											R_TBR	时间/s
算法	10	9	8	7	6	5	4	3	2	1	0	R_TBR	时间/s
单类空量测二维分配法	210	393	923	1 415	1 527	2 126	1 393	842	576	283	312	0.522 5	1.050
两类空量测二维分配法	0	0	0	0	38	108	216	634	2 065	3 102	3 837	0.106 3	5.850
两类空量测三维分配法	0	0	0	0	0	28	115	241	765	1 154	7 697	0.040 1	8.540

[1]	Zhicong CHEN, Rui KANG, Tianpei ZU, Qingyuan ZHANG. Belief reliability allocation method based on technology readiness [J]. Systems Engineering and Electronics, 2022, 44(1): 327-337.
[2]	WEI Chi, PENG Hua, GUO Yiming, FAN Junhui. Amplitude joint estimating algorithm for PCMA signals [J]. Systems Engineering and Electronics, 2019, 41(2): 433-437.
[3]	JING Xiao-rong1,2, LING Rong-zhen1. Precoder design for interference alignment based on adaptive composite cost function over MIMO interference channels [J]. Systems Engineering and Electronics, 2016, 38(10): 2420-2427.
[4]	JIN Yan, HU Bi-xin, JI Hong-bing. Unified framework of robust weighted filtering in α stable noise [J]. Systems Engineering and Electronics, 2016, 38(10): 2221-2227.
[5]	HAN Wei，TANG Zi-yue，ZHU Zhen-bo. Target tracking method using bearing information of ESM in Doppler blind zone [J]. Journal of Systems Engineering and Electronics, 2013, 35(8): 1650-1656.
[6]	TIAN Ye, JI Hong-Bing, OUYang Cheng. Passive sensor data association based on DWLS [J]. Journal of Systems Engineering and Electronics, 2011, 33(11): 2353-2358.
[7]	WANG Jian-wen, SHUI Hai-tao, MA Hong-xu, LI Xun, LIU Shu-tian. Choice of cost functions in optimized Kalman filters [J]. Journal of Systems Engineering and Electronics, 2009, 31(1): 200-203.
[8]	WANG Jian-wen, SHUI Hai-tao, MA Hong-xu, LI Xun, LIU Shu-tian. Choice of cost functions in optimized Kalman filters [J]. Journal of Systems Engineering and Electronics, 2009, 31(01): 200-203.

Target plot-to-track association method in Doppler blind zone based on multi-dimension assignment

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 31

Related Articles 8

Recommended Articles

Metrics

Comments