系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (8): 2626-2637.doi: 10.12305/j.issn.1001-506X.2026.08.11

• 传感器与信号处理 • 上一篇    

复合干扰下雷达-红外特征融合目标识别方法

孙殿星1,2, 窦钥聪1, 彭锐晖1, 王国宏2   

  1. 1. 哈尔滨工程大学信息与通信工程学院,黑龙江 哈尔滨 150001
    2. 海军航空大学信息融合研究所,山东 烟台 264001
  • 收稿日期:2025-03-28 修回日期:2025-05-10 接受日期:2025-06-11 出版日期:2026-02-11 发布日期:2026-02-11
  • 通讯作者: 窦钥聪
  • 作者简介:孙殿星(1983—),男,工学博士,哈尔滨工程大学硕士生导师,主要研究方向为雷达抗干扰、雷达目标探测、信息融合等
    彭锐晖(1979—),男,工学博士,哈尔滨工程大学教授,博士生导师,主要研究方向为智能雷达抗干扰、电磁散射控制等
    王国宏(1963—),男,工学博士,海军航空大学教授,博士生导师,主要研究方向为多传感器信息融合、多目标跟踪、目标识别、电子战等
  • 基金资助:
    部委基金项目(2023-JCJQ-LB-016)资助课题

Radar-infrared feature fusion target recognition method with complex jamming

Dianxing SUN1,2, Yuecong DOU1, Ruihui PENG1, Guohong WANG2   

  1. 1. College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China
    2. Information Fusion Research Institute,Naval Aeronautical University,Yantai 264001,China
  • Received:2025-03-28 Revised:2025-05-10 Accepted:2025-06-11 Online:2026-02-11 Published:2026-02-11
  • Contact: Yuecong DOU

摘要:

在现代战场环境下,舰船受到反舰导弹的攻击之后会同时释放雷达干扰和红外干扰,这对雷达-红外复合导引头精准打击目标产生很大影响。针对雷达间歇采样干扰和红外诱饵干扰同时释放这一场景,设计了一种在复合干扰下雷达-红外特征级融合目标识别算法,从雷达红外信息同源入手,采用角度关联初次滤除干扰;对于在关联门限之内的干扰,提取雷达回波时频特征,与红外图像匹配作为融合网络的输入,采用雷达-红外特征融合的方式二次滤除干扰,从而保证导引头在同时存在间歇采样干扰和红外诱饵干扰的场景下精准打击目标。所提方法可以有效提升导弹对目标的识别能力,所做工作对抗干扰领域具有参考意义。

关键词: 复合干扰, 雷达红外复合制导, 目标识别, 特征融合

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

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