基于箔条干扰实测数据的对抗方法研究

doi:10.12305/j.issn.1001-506X.2023.07.11

Abstract

Abstract:

A typical passive interference measure, the chaff interference, has a complex diffusion process and changeable characteristic information. The existing countermeasures do not take both the accuracy and the universality into account. To address this problem, a more effective anti-chaff jamming method based on the distance and frequency distribution features of the range-Doppler (R-D) diagram is proposed. Firstly, a mean-shift clustering algorithm to separate the point sets of target and chaff is employed, and then new feature information such as frequency offset sum and other new features to assist the machine learning classifiers in completing the confrontation recognition of the diffusion process is extracted. Finally, the proposed method is applied to a large amount of anti-chaff jamming real-life data of a certain coherent terminal guidance radar. The data processing results show the changes of each feature of the jamming during the whole process of chaff bombs from firing to complete spreading, and based on this, discuss the stability of the features and the reliability of the anti-jamming method. Both the theoretical analysis and the measured data processing results show that the proposed anti-chaff jamming method can accurately recognize the chaff during the whole diffusion process, and therefore the proposed method has remarkable anti-jamming performance and good environmental adaptability.

Key words: chaff jamming, measured data analysis, feature extraction, target recognition, machine learning

CLC Number:

TN973

Husheng WANG, Baixiao CHEN, Qingzhi YE. Research on anti-chaff jamming method based on measured data[J]. Systems Engineering and Electronics, 2023, 45(7): 2010-2021.

Figures/Tables 16

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类别	帧号	中心点距离/km	中心点速度/(m/s)	占据距离单元数	占据多普勒通道数	过CFAR门限点数
目标	917	21.31	2.43	9	22	140
	941	21.34	2.46	13	24	124
	972	21.32	2.53	12	23	138
	1 000	21.29	2.51	13	23	172
箔条1	917	21.28	-1.72	7	25	32
	941	21.32	-1.14	14	47	210
	972	21.24	-0.62	15	42	309
	1 000	21.23	-0.84	16	48	423

类别	帧号	中心点距离/km	中心点速度/(m/s)	占据距离单元数	占据多普勒通道数	过CFAR门限点数
目标	1 426	20.69	4.21	3	12	43
	1 527	20.44	4.58	15	14	104
	3 812	17.11	5.17	17	26	254
	5 428	14.62	5.83	31	25	134
箔条1	1 426	20.65	0.26	21	36	307
	1 527	20.41	0.48	18	31	177
	3 812	17.21	2.15	29	45	454
	5 428	14.86	2.38	39	54	620
箔条2	1 426	21.14	0.48	27	15	48
	1 527	20.84	0.55	28	18	94
	3 812	17.68	1.65	33	27	375
	5 428	15.32	2.08	45	51	466

类别	帧号	矩峰度	偏度和	频偏方差	3 dB宽度方差
目标	917	4.58	0.76	0.00	0.00
	941	4.41	2.08	0.20	0.20
	1 426	4.70	3.96	1.30	0.50
	1 527	4.65	2.35	0.00	0.80
箔条1	917	5.01	10.01	96.70	39.30
箔条1	941	3.25	5.21	23.00	8.30
箔条2	1 426	4.29	4.38	14.30	1.30
箔条2	1 527	3.70	3.49	13.70	0.20

分类器	准确率/%	预测速度/(次/秒)	训练时间/(次/秒)
支持向量机	91.63(83.10)	160 000	36.74
朴素贝叶斯	79.69(67.30)	200 000	1.72
随机森林	92.40(85.70)	17 000	12.81

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Research on anti-chaff jamming method based on measured data

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