基于DRFM的雷达有源干扰信号识别算法综述  

A Review of Radar Jamming Signal RecognitionAlgorithms Based on DRFM

作　　者：赵忠臣 刘利民 解辉 韩壮志 荆贺 ZHAO Zhongchen;LIU Limin;XIE Hui;HAN Zhuangzhi;JING He(Shijiazhuang Campus Army Engineering University of PLA ,Shijiazhuang 050000 China)

机构地区：[1]陆军工程大学石家庄校区,石家庄050000

出　　处：《电光与控制》2024年第4期65-74,共10页Electronics Optics & Control

基　　金：装备综合研究项目(LJ20212C021153)

摘　　要：随着数字射频存储(DRFM)技术不断发展成熟,针对雷达的有源干扰更加灵活有效,因此寻找可靠自主的识别算法具有重要的军事应用价值。按照雷达有源干扰识别的一般流程,将近年来的研究成果进行了归纳总结,对比分析了各算法的优缺点。首先,通过介绍DRFM的结构阐述干扰产生的过程和原理;然后根据作用性质将17种常见干扰进行分类并给出信号模型,围绕信号特征提取和分类器类型这2个核心,全面梳理干扰识别算法流程,以2种压制干扰为例对比分析了不同信号特征提取和分类器对干扰识别结果的影响;最后,展望了雷达有源干扰信号识别算法的发展方向。With the continuous development and maturity of Digital Radio Frequency Memory(DRFM)technology active jamming to radar is more flexible and effective so it is important to find a reliable and autonomous recognition algorithm for military applications.According to the general process of radar active jamming recognition this paper summarizes the research results in recent years and compares and analyzes the advantages and disadvantages of each algorithm.Firstly the process and principle of jamming generation ar e illustrated by introducing the structure of DRFM.Then 17 kinds of common jamming are classified and the signal model is given according to the nature of the action and the flow of jamming recognition algorithm is comprehensively sorted out based on the two core links of signal characteristics and classifier types.Taking two kinds of suppression jamming as an example the influence of different characteristics and classifiers on the jamming recognition results is analyzed.Finally the future development direction of radar active jamming recognition algorithm is predicted.

关 键 词：有源干扰识别 压制干扰 欺骗干扰 特征提取 分类器 

分 类 号：TN974[电子电信—信号与信息处理]