基于脉冲到达时间二阶差分特征的雷达信号分类识别方法  

Classification and recognition method of radar signal based on second-or‑der difference feature of pulse arrival time

作　　者：徐涛[1] 刘章孟 熊坤来 郭福成[1] Xu Tao;Liu Zhangmeng;Xiong Kunlai;Guo Fucheng(School of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,Hunan,China)

机构地区：[1]国防科技大学电子科学学院,湖南长沙410073

出　　处：《航天电子对抗》2022年第5期22-26,共5页Aerospace Electronic Warfare

摘　　要：雷达信号分类识别是电子侦察领域的一个重要问题,现代雷达日益复杂的重频模式给传统的利用一阶统计参数的识别方法造成了很大困难。从雷达脉冲列中提取脉冲到达时间的二阶差分特征,用以增强不同雷达信号之间的可分性,并将该特征与传统的载频、脉宽等统计参数进行综合,提出了基于支持向量机的雷达信号分类识别方法。仿真实验验证了新方法在不同数据量和数据噪声场景下相对于传统方法的显著优势。Radar signal classification and recognition is an important problem in the field of electronic recon‑naissance.The increasingly complex repetition mode of modern radars causes great difficulties to the traditional recognition method using first-order statistical parameters.The second‑order difference feature of pulse arrival time is extracted from the radar pulse train to enhance the separability of different radar signals,the feature is inte‑grated with the traditional statistical parameters such as carrier frequency and pulse width,and a radar signal classi‑fication and recognition method based on support vector machine is proposed.Simulation results show that the new method has significant advantages over the traditional method in different data volume and data noise scenari‑os.

关 键 词：脉冲到达时间 二阶差分 支持向量机 雷达识别 

分 类 号：TN971.1[电子电信—信号与信息处理] TN974[电子电信—信息与通信工程]