基于二维特征相似系数的雷达辐射源识别算法  

Radar Emitter Recognition Algorithm Based on Two-dimensional Feature Similarity Coefficient

作　　者：王鑫[1] 王旭[1] 洪伟 WANG Xin;WANG Xu;HONG Wei(No.724 Research Institute of CSIC,Nanjing 211153,China)

机构地区：[1]中国船舶重工集团公司第七二四研究所,江苏南京211153

出　　处：《舰船电子对抗》2020年第5期38-43,49,共7页Shipboard Electronic Countermeasure

摘　　要：雷达识别技术可以根据采集到雷达信号特征的参数差异进行不同型号雷达的区分,在电子侦察中起着重要的作用。随着不同新体制雷达的使用,如何更进一步从复杂电磁环境中凸显雷达特征,提高识别率是雷达辐射源识别领域的亟待解决的问题。针对上述问题,提出了一种基于二维特征相似系数的雷达辐射源识别算法。首先,提取雷达信号的Wigner-Ville特征,将它映射到二维空间;然后,通过三角采样序列和矩形采样序列进行信号相似系数的计算,从而提取出雷达信号的相似系数;最后,采用核模糊C均值聚类算法进行不同型号的识别,通过仿真实验证明了本方法的有用性和可靠性。Radar recognition technology can distinguish different types of radars according to the parameter differences of radar signal characteristics,which plays an important role in electronic reconnaissance.With the use of radars of different new systems,how to further highlight the radar characteristics from the complex electromagnetic environment and improve the recognition rate is an urgent problem in the field of radar emitter recognition.Aiming at the above problems,a radar emitter recognition algorithm based on two-dimensional feature similarity coefficient is proposed.Firstly,the Wigner Ville feature of radar signal is extracted and mapped to two-dimensional space;then,the similarity coefficient of radar signal is extracted by calculating the similarity coefficient of triangle sampling sequence and rectangle sampling sequence;finally,the kernel fuzzy C-means clustering algorithm is used to identify the radar signals of different types,and the validity and reliability of this method are proved by simulation experiments.

关 键 词：信号识别 时频分析 雷达信号 核模糊C均值 Wigner三谱 

分 类 号：TN971.1[电子电信—信号与信息处理]