基于时频图像代数特征的雷达信号脉内调制方式分类研究  

Research on Classifications of Intra-Pulse Modulation Based on the Algebra Characteristics of TFD Images

作　　者：郝士琦[1,2] 周建国[1,2] 冷蛟锋[1,2] 吕旭光[1,2] 

机构地区：[1]安徽省电子制约技术重点实验室,合肥230037 [2]电子工程学院,合肥230037

出　　处：《电子对抗》2012年第4期22-26,共5页Electronic Warfare

基　　金：基金项目：国家自然科学基金（60902017）,安徽省自然科学基金（1004060Q60）（1004060Q61）资助项目

摘　　要：利用雷达信号的时频分布，进行时频图像代数特征提取，提出了将时频分布图像的奇异值和不变矩两组代数特征联合作为特征模板，以实现雷达信号几种基本脉内调制方式的有效分类。针对单一特征难以区分的情况，两组代数特征能够相互补充，是一组良好的分类特征模板。In this paper, how to extract the algebra characteristics from TFD image of radar signal is researched. Then, the method to classify the radar signal intra-pulse modulation efficiently by the signlar value and invariant moments characteristics is proposed. Aimed at the problem which it is difficult to efficiently classify the radar intra-pulse modulation type just according to one characteris- tic, the two algebra characteristics can be combined and they can support each other. And they are excellent characteristics template.

关 键 词：脉内调制 PWVD分布 奇异值 不变矩 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]