异地配置的雷达与电子支援措施异步航迹关联

doi:10.12305/j.issn.1001-506X.2021.04.12

Abstract

Abstract:

Aiming at the problem of radar and electronic support measurement (ESM) track correlation under asynchronous conditions, a track correlation algorithm without time domain registration is proposed by analyzing the influence of asynchronous measurement values of the azimuth on the principle of cross location. According to the difference of sensor's delay and sampling rate, the isometric interval transformation of the unequal length track sequence and the interval method of asynchronous track cross location are presented. Track correlation of heterogeneous sensors is realized by calculating interval sequence discrete degree. Through simulation verification, the interval sequence discrete degree is not affected by the noise distribution, and the solution of the overall characteristics of the data set avoids the point-by-point operation in the traditional algorithm, which effectively improves the algorithm calculation rate. Compared with the traditional algorithm, the asynchronous track can be correlated directly and accurately under a variety of measurement error scenarios.

Key words: track association, cross location, radar, electronic support measurement (ESM), interval transformation

CLC Number:

V271.4

Xiao YI, Jinpeng DU, Xinying CAO. Asynchronous track association of radar and electronic support measurements at different sites[J]. Systems Engineering and Electronics, 2021, 43(4): 954-960.

Figures/Tables 12

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References 25

1	LIU Q Y, ZHANG Q. Heterogeneous multi-sensor data fusion in radar signal processing[C]//Proc. of the 4th International Conference on Electromechanical Control Technology and Transportation (ICECTT), 2019: 134-137.
2	ZHU H , WANG M L , YUEN K V , et al. Track-to-track association by coherent point drift[J]. Signal Processing Letters, 2017, 24 (5): 643- 647. doi: 10.1109/LSP.2017.2682857
3	YAN X F. A survey on radar/ESM track association[C]//Proc. of the 31st Chinese Control Conference, 2012: 7696-7702.
4	TU Y J , HUANG G M , LI J H , et al. Performance analysis of radar and ESM track association algorithms[J]. Applied Mechanics and Materials, 2011, 130-134, 1925- 1928. doi: 10.4028/www.scientific.net/AMM.130-134.1925
5	WANG G H , MAO S Y , HE Y . Analytical performance evaluation of association of active and passive tracks for airborne sensors[J]. Signal Processing, 2003, 83 (5): 973- 981. doi: 10.1016/S0165-1684(02)00500-5
6	OFFER C R. Performance of bearing-only ESM-radar track association[C]//Proc. of the IET Data Fusion & Target Tracking Conference, 2012: 1-6.
7	PENG B B, GUAN X. A new track association algorithm of radar and ESM[C]//Proc. of the CIE International Conference on Radar (RADAR), 2016: 1-5.
8	WANG G H , MAO S Y , HE Y , et al. Triple-threshold radar-to-ESM correlation algorithm when each radar track is specified by different number of measurements[J]. IEEE Proceedings Radar, Sonar & Navigation, 2000, 147 (4): 177- 181.
9	WANG G H , HE Y , MAO S Y , et al. Quadri-threshold algorithm of co-located radar-to-ESM correlation[J]. Chinese Journal of Aeronautics, 2000, 13 (2): 86- 90.
10	GUAN C B, WANG G H, CHEN Z H. Research on the method of radar-to-ESM track correlation[C]//Proc. of IET International Radar Conference, 2013: 1-6.
11	陈中华, 王国宏, 刘德浩, 等. 基于几何法的雷达与ESM航迹关联算法[J]. 电光与控制, 2012, 19 (4): 10- 12, 22.
	CHEN Z H , WANG G H , LIU D H , et al. Radar-ESM track correlation based on geometric method[J]. Electronics Optics & Control, 2012, 19 (4): 10- 12, 22.
12	SCALA B F L , FARINA A . Choosing a track association method[J]. Information Fusion, 2002, 3 (2): 119- 133. doi: 10.1016/S1566-2535(02)00050-7
13	余安喜, 胡卫东, 郁文贤, 等. 航迹相关与融合的性能评估[J]. 系统工程与电子技术, 2003, 26 (7): 121- 124.
	YU A X , HU W D , YU W X , et al. Performance evaluation for track correlation and fusion[J]. Systems Engineering and Electronics, 2003, 26 (7): 121- 124.
14	XIA J , FENG Y Q , LIU L N , et al. An evidential reliability indicator-based fusion rule for Dempster-Shafer theory and its applications in classification[J]. IEEE Access, 2018, 6, 24912- 24924. doi: 10.1109/ACCESS.2018.2831216
15	DEMERS H, MICHAUD G, TURGEON D. Identity multiassignment in ESM to radar fusion[C]//Proc. of the 9th International Conference on Information Fusion, 2006: 1-6.
16	郭徽东, 章新华. 基于模糊综合函数的航迹关联算法及其应用[J]. 系统工程与电子技术, 2003, 35 (11): 1401- 1403.
	GUO H D , ZHANG X H . A track-to-track association algorithm based on fuzzy synthetical function and its application[J]. Systems Engineering and Electronics, 2003, 35 (11): 1401- 1403.
17	CHEN H, BAR-SHALOM Y. Track association and fusion with heterogeneous local trackers[C]//Proc. of the 46th IEEE Conference on Decision & Control, 2007.
18	ZHAO G Z , CHEN A G , LU G X , et al. Data fusion algorithm based on fuzzy sets and D-S theory of evidence[J]. Tsinghua Science and Technology, 2020, (1): 12- 19.
19	GU E T, TAN Y L, YU Z C, et al. An algorithm for 2D radar to ESM correlation based on fuzzy data association[C]//Proc. of the Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, 2011: 1094-1097.
20	ZHU H , LEUNG H , YUEN K V . A joint data association, registration, and fusion approach for distributed tracking[J]. Information Sciences, 2015, 324, 186- 196. doi: 10.1016/j.ins.2015.06.042
21	ZHU H Y , WANG C . Joint track-to-track association and sensor registration at the track level[J]. Digital Signal Processing, 2015, 41, 48- 59. doi: 10.1016/j.dsp.2015.03.012
22	ZHU H Y, HAN C Z, HAN H, et al. The algorithm and simu- lations for the asynchronous track association[C]//Proc. of the 6th IEEE International Information Fusion Conference, 2003.
23	衣晓, 韩健越, 张怀巍, 等. 基于区实混合序列相似度的异步不等速率航迹关联算法[J]. 航空学报, 2015, 36 (4): 1212- 1220.
	YI X , HAN J Y , ZHANG H W , et al. Asynchronous track-to-track association algorithm based on similarity degree of interval-real sequence[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36 (4): 1212- 1220.
24	YADOLAH D . The concise encyclopedia of statistical[M]. Berlin: Springer-Verlag, 2008.
25	衣晓, 杜金鹏. 基于分段序列离散度的异步航迹关联算法[J]. 航空学报, 2020, 41 (7): 265- 274.
	YI X , DU J P . Asynchronous track-to-track association algorithm based on discrete degree of segmented sequence[J]. Acta Aeronautica et Astronautica Sinica, 2020, 41 (7): 265- 274.

测角随机误差/(°)		本文算法			文献[7]算法			文献[11]算法
雷达	ESM	E_c	E_e	E_s	E_c	E_e	E_s	E_c	E_e	E_c
0.3	0.2	0.983 0	0.016 6	0.000 4	0.901 7	0.047 5	0.050 8	0.900 0	0.044 2	0.055 8
0.3	0.4	0.977 1	0.021 8	0.001 1	0.880 0	0.062 5	0.057 5	0.868 3	0.062 5	0.069 2
0.3	0.6	0.973 8	0.025 2	0.001 0	0.855 8	0.070 8	0.073 3	0.850 0	0.073 3	0.076 7
0.5	0.2	0.965 3	0.034 5	0.000 3	0.860 0	0.066 7	0.073 3	0.857 5	0.061 7	0.080 8
0.5	0.4	0.959 8	0.039 4	0.000 8	0.846 7	0.075 8	0.077 5	0.835 0	0.075 8	0.089 2
0.5	0.6	0.959 3	0.040 8	0.000 0	0.804 2	0.099 2	0.096 7	0.795 8	0.099 2	0.105 0
0.7	0.2	0.941 3	0.058 4	0.000 3	0.817 5	0.086 7	0.095 8	0.808 3	0.089 2	0.102 5
0.7	0.4	0.936 9	0.063 0	0.000 1	0.783 3	0.105 8	0.110 8	0.778 3	0.105 8	0.115 8
0.7	0.6	0.922 3	0.077 3	0.000 5	0.766 7	0.119 2	0.114 2	0.763 3	0.116 7	0.120 0

ESM时延/s	传感器采样周期(t₁, t₂) /s
ESM时延/s	(0.1, 0.3)	(0.3, 0.5)	(0.5, 1.1)
Δt=0.1	0.953	0.933	0.913
Δt=0.2	0.942	0.921	0.891
Δt=0.3	0.938	0.912	0.890
Δt=0.4	0.937	0.911	0.887
Δt=0.5	0.934	0.913	0.873

噪声分布	均匀噪声	指数噪声	高斯噪声	瑞利噪声
本文算法正确关联率	0.941 3	0.945 8	0.954 4	0.952 5

ESM时延/s	传感器采样周期(t₁, t₂) /s
ESM时延/s	(0.1, 0.3)	(0.3, 0.5)	(0.5, 1.1)
Δt=0.1	0.948	0.926	0.905
Δt=0.2	0.936	0.915	0.892
Δt=0.3	0.924	0.907	0.888
Δt=0.4	0.920	0.899	0.879
Δt=0.5	0.916	0.893	0.872

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Asynchronous track association of radar and electronic support measurements at different sites

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