一种新的雷达信号分选方法  

New Method of Classifying the Radar Signals

作　　者：陈惠民[1] 盛骥松[2] 

机构地区：[1]江苏科技大学电子信息学院,江苏镇江212003 [2]中船重工集团723研究所,江苏扬州225001

出　　处：《现代电子技术》2009年第1期20-22,共3页Modern Electronics Technique

摘　　要：在雷达辐射源信号分选领域,随着现代电子战电磁环境的恶化,信号参数空间的严重交叠,五经典参数分选方法性能急剧下降。针对传统信号分选方法的不足,提出瞬时自相关算法瞬时频率派生特征提取算法,提取和补充新的分选参数,构建更为有效的分选特征向量。通过Matlab仿真,验证了该算法的正确性和实际应用的可行性。In the field of classifying the radar emitter signals, as the electromagnetic environment in modern Electronic warfare is becoming worse, signals parameters overlapping are serious, the performances of the five classic parameters classifying signals descend rapidly. As deficiency of the conventional method, the feature extraction algorithm of derived characters of instantaneous frequency is proposed. Via the algorithm, some new parameters could be extracted, so the more effective classifying characteristics vector could be constructed. Simulation experiments through Matlab show correction and feasibility of practical application of the algorithm.

关 键 词：雷达辐射源 信号分选 五经典参数 瞬时频率 特征提取算法 

分 类 号：TN95[电子电信—信号与信息处理]