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低信噪比下雷达信号脉内特征提取新方法
引用本文:高俊楠,丁建江,王鹏. 低信噪比下雷达信号脉内特征提取新方法[J]. 空军雷达学院学报, 2008, 22(1): 15-17,21
作者姓名:高俊楠  丁建江  王鹏
作者单位:1. 空军雷达学院研究生管理大队,武汉,430019
2. 空军雷达学院科研部,武汉,430019
摘    要:针对低信噪比条件下雷达信号的瞬时参数估计容易受噪声影响的问题,提出了将自适应阈值消噪技术与小波变换结合起来的新方法.首先利用连续小波变换计算信号的小波谱,再对小波谱进行自适应阈值消噪处理,进而提取小波谱脊线,得到信号的脉内调制信息.计算机仿真结果验证了该方法的可行性.

关 键 词:自适应阈值  雷达信号  脉内特征  小波变换  低信噪比  雷达信号  号脉  特征提取  方法  Low SNR  Radar Signals  Features  Method of  结果验证  算机仿真  调制信息  脊线  消噪处理  小波谱  计算  连续  利用  结合  小波变换
文章编号:1673-8691(2008)01-0015-03
收稿时间:2007-09-12
修稿时间:2007-10-08

A Novel Method of Extracting the In-pulse Features of Radar Signals in Low SNR
GAO Jun-nan,DING Jian-jiang,WANG Peng. A Novel Method of Extracting the In-pulse Features of Radar Signals in Low SNR[J]. Journal of Air Force Radar Academy, 2008, 22(1): 15-17,21
Authors:GAO Jun-nan  DING Jian-jiang  WANG Peng
Abstract:Concerned with the problems of the instantaneous parameter estimation ot radar signals m low SNR, a novel method that the technique of noise-cancellation with the adaptive threshold was combined with the wavelet transform was proposed. At first the wavelet spectrum of signals was calculated by using continuum wavelet transform, then the wavelet spectrum was processed with adaptive threshold noise-cancellation, and finally the in-pulse features of radar signal was obtained by extracting the ridge of the spectrum. Simulations verifies the method to be feasible.
Keywords:adaptive threshold   radar signals   in-pulse features   wavelet transform
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