首页 | 本学科首页   官方微博 | 高级检索  
     

基于综合时频检测的LFM信号调制特征提取
引用本文:陈昌孝,何明浩,程柏林. 基于综合时频检测的LFM信号调制特征提取[J]. 电子信息对抗技术, 2007, 22(6): 12-14,61
作者姓名:陈昌孝  何明浩  程柏林
作者单位:1. 空军雷达学院研究生管理大队,武汉,430019
2. 空军雷达学院训练部,武汉,430019
3. 空军雷达学院电子对抗系,武汉,430019
基金项目:国防预研基金资助项目(J1442050204JB4901)
摘    要:信号脉内调制信息识别技术对密集和复杂电磁环境中辐射源的分选和识别有着重要意义。通过讨论小波变换法、伪WVD法等典型LFM信号调制特征提取方法,提出了将小波变换法和伪WVD法提取的结果进行截断综合,再提取时频图脊线的新算法。实现了在低信噪比条件下,准确提取LFM信号的调制特征。仿真结果证实了算法的可行性。

关 键 词:LFM信号 调制特征 小波变换 伪WVD
文章编号:CN51-1694(2007)06-0012-03
修稿时间:2007-05-192007-06-18

A Novel Method of Extracting the Modulating Features from LFM in Low SNR
CHEN Chang-xiao,HE Ming-hao,CHENG Bo-lin. A Novel Method of Extracting the Modulating Features from LFM in Low SNR[J]. , 2007, 22(6): 12-14,61
Authors:CHEN Chang-xiao  HE Ming-hao  CHENG Bo-lin
Affiliation:1, Department of Graduate Management , AFAR, Wuhan 430019, China ; 2. Division of Training ,AFAR, Wuhan 430019, China ; 3. Department of Electronic Countermeasures, AFAR, Wuhan 430019, China
Abstract:The technique of extracting in-pulse features from compression and complex condition is very important to radiant point selection and identification. Some typical methods of extracting the in-pulse features of LFM are compared, such as wavelet transformation and PWVD. Then a new method based on the colligation of wavelet transformation and PWVD is brought forward, which could extract in-pulse features from LFM in low SNR exactly. The result of the emulation experiments approves the feasibility of this method.
Keywords:LFM signal    modulating features    wavelet transformation    PWVD
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号