首页 | 本学科首页   官方微博 | 高级检索  
     

一种基于小波变换的电子战环境下噪声抑制方法
引用本文:曹星慧,宋庆雷,兰盛昌,徐国栋.一种基于小波变换的电子战环境下噪声抑制方法[J].通信对抗,2007(2):29-33.
作者姓名:曹星慧  宋庆雷  兰盛昌  徐国栋
作者单位:哈尔滨工业大学卫星技术研究所,解放军电子工程学院,哈尔滨工业大学卫星技术研究所,哈尔滨工业大学卫星技术研究所 黑龙江哈尔滨150001,安徽合肥230037,解放军61541部队,北京100094,黑龙江哈尔滨150001,黑龙江哈尔滨150001
摘    要:介绍了基于多分辨率信号分解(MSD)小波变换算法的抗干扰微弱信号提取方案。通过对模拟噪声模型的弱信号和实测的导弹红外导引头的弱信号的提取可以看出,MSD小波变换算法速度快、实时性好,能有效地抑制噪声,适应战时需要。

关 键 词:小波变换  多分辨率信号分解  弱信号  电子战
收稿时间:2006-12-18
修稿时间:2006-12-18

Noise Compression Based on Wavelet Transform in Electronic War
CAO Xing-hui ,SONG Qing-lei ,LAN Sheng-chang ,XU Guo-dong.Noise Compression Based on Wavelet Transform in Electronic War[J].Communication Countermeasures,2007(2):29-33.
Authors:CAO Xing-hui  SONG Qing-lei  LAN Sheng-chang  XU Guo-dong
Affiliation:1. Research Center of Satellite Technology, Harbin Institute of Technology, Harbin, Heilongjiang 150001,China; 2. Electronic Engineering Institute of PLA, Hefei, A nhui 230037,China ; 3.Unit 61541 of PLA, Beijing 100094,China
Abstract:In this paper,A plan to extract the weak signals from interference based on MSD wavelet transform algorithms is proposed.Through the weak signals extraction from the simulation noisy models and realistic IR seeker data,it can be seen that MSD wavelet transform algorithm processes high calculation speed,real-time processing ability,and it is able to suppress noise inference and adapt to wartime needs.
Keywords:wavelet transform  MSD  weak signal  electronic warfare
本文献已被 CNKI 维普 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