复合干扰下雷达-红外特征融合目标识别方法

doi:10.12305/j.issn.1001-506X.2026.08.11

Abstract

Abstract:

In the modern battlefield environment, ships release both radar jamming and infrared jamming after being attacked by anti-ship missiles, which has a great impact on the precision of radar-infrared composite seeker. Aiming at the situation that intermittent sampling jamming and infrared decoy jamming of radar are released at the same time, a radar-infrared feature level fusion target recognition algorithm is designed with complex jamming. Starting from the homology of radar infrared information, angle correlation is used to filter the jamming first. For the jamming within the correlation threshold, the time-frequency features of radar echoes are extracted, matched with infrared images as the input of fusion network, and the jamming is filtered twice by means of radar-infrared feature fusion, so as to ensure that the seeker can accurately strike the target in the scene where intermittent sampling jamming and infrared decoy jamming exist at the same time. The proposed method can effectively improve the missile’s ability to identify the target, and the work is of reference significance in the field of anti-jamming.

Key words: composite jamming, radar infrared composite guidance, target recognition, feature fusion

CLC Number:

TN 974

Dianxing SUN, Yuecong DOU, Ruihui PENG, Guohong WANG. Radar-infrared feature fusion target recognition method with complex jamming[J]. Systems Engineering and Electronics, 2026, 48(8): 2626-2637.

Figures/Tables 16

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References 30

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实验组	准确率	召回率	F1分数
a	0.713	0.729	0.722
b	0.746	0.792	0.769
c	0.869	0.897	0.883
d	0.972	0.963	0.967

样本类别	匹配数据	准确率
正样本	红外目标与雷达目标匹配	0.941
负样本	红外干扰与雷达目标匹配	0.948
	红外目标与雷达干扰匹配	0.946
	红外干扰与雷达干扰匹配	0.954

实验	数据	识别准确率
单模雷达	雷达	0.739
单模红外	红外	0.713
本文方法	雷达+红外	0.941

方法	自注意力机制	SupCon损失	目标识别正确率
基线方法	—	—	0.882
添加模块	√	—	0.913
添加模块	—	√	0.920
本文方法	√	√	0.941

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Radar-infrared feature fusion target recognition method with complex jamming

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