基于极化与距离像特征融合的雷达导引头角反射器鉴别方法

doi:10.12305/j.issn.1001-506X.2024.11.08

Abstract

Abstract:

The strong false target interference formed by the corner reflector poses a serious challenge to the target identification of the anti-ship missile radar seeker. In order to improve the radar seeker's ability of anti diluted corner reflector jamming, an identification method of corner reflector based on multi-feature fusion of polarization and high resolution range profile (HRRP) is proposed. Firstly, combining the experimental data in three scenarios, the target echo signals of radar seeker are extracted from the sea clutter. Secondly, five range profile features, such as peak number and radial dimension, and three polarization features, such as mean of polarization coherence, are analyzed from the corner reflector and ship echoes. The processing results of the experimental data show that the feature difference is obvious between the ship and the single corner reflector, while the difference decreases between the ship and the array. Then, using the support vector machine (SVM) method, five tests are designed based on the experimental data, and the discrimination performance of single-feature and multi-feature fusion is examined respectively. The test results show that the single-feature identification method is not stable, while the proposed three-feature fusion identification method is more robust, and the identification accuracy reaches more than 92.86% in five tests.

Key words: radar seeker, corner reflector, target identification, anti-jamming

CLC Number:

TN974

Jingwen HAN, Yong YANG, Jing LIAN, Guoqing WU, Xuesong WANG. Identification method of corner reflector based on polarization and HRRP feature fusion for radar seeker[J]. Systems Engineering and Electronics, 2024, 46(11): 3658-3670.

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场景	目标	干扰	信杂比/dB	干信比/dB	数据量/帧
1	2艘中型舰船	2个角反	14.5	17.6	10
2	大型舰船	二角反阵列	26.8	-2.9	19
3	小型舰船	角反	4.2	25.2	10

测试	训练集来源	测试集来源	训练集数据	测试集数据	先验信息
1	A类舰船单个角反	同训练集	随机取场景1 75%样本数据	场景1剩余25%样本数据	已知
2	B类舰船阵列角反	同训练集	随机取场景2 75%样本数据	场景2剩余25%样本数据	已知
3	A、B类舰船单个角反、阵列角反	同训练集	场景1所有数据+场景2任取10帧数据	场景2剩余9帧样本数据	已知
4	A、B类舰船单个角反、阵列角反	C类舰船单个角反	场景1所有数据+场景2任取10帧数据	场景3所有数据	未知
5	A类舰船单个角反	B类舰船阵列角反	场景1所有数据	随机取训练集1/3数量的场景2数据	未知

特征参数	测试1	测试2	测试3	测试4	测试5
NP	0.998 7	1.000 0	0.750 7	0.500 0	0.507 8
径向尺寸	1.000 0	1.000 0	0.750 0	0.864 1	0.507 8
总半峰宽	0.997 4	1.000 0	0.967 0	0.783 4	0.507 8
目标幅度方差	0.994 8	0.917 3	0.750 7	0.772 7	0.508 6
平均差分幅度	0.996 1	0.740 9	0.876 4	0.500 0	0.753 7
极化相关系数均值	0.960 9	0.736 8	0.752 1	0.919 5	0.540 3
极化相关系数平滑度	0.898 4	0.848 9	0.766 5	0.785 2	0.624 6
最强点平均位置差	0.998 7	0.992 4	0.956 7	0.989 9	0.808 4

参数	测试1	测试2	测试3	测试4	测试5
三特征联合	1	1	0.995 2	0.992 9	0.928 6

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Identification method of corner reflector based on polarization and HRRP feature fusion for radar seeker

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