首页 | 本学科首页   官方微博 | 高级检索  
     

小波滤波器在弱信号检测中的应用及设计
引用本文:李世玲,李合生,李治. 小波滤波器在弱信号检测中的应用及设计[J]. 西南交通大学学报, 2000, 35(1): 86-89
作者姓名:李世玲  李合生  李治
作者单位:1. 西南交通大学电气工程学院,四川,成都,610031
2. 北京航空航天大学第七研究室,北京,100083
摘    要:根据小波变换的多尺度分解特性,构造了一种小波能量积累器,将不同分解尺度上的能量进行积累。在此基础上设计了一种用于弱信号检测的小波能量检测法,并对低信噪比信号的检测进行了仿真实验。仿真结果表明,该检测法对低信噪比信号是比较有效的,而且与传统的脉内累加平均的信号检测方法相比,文中提出的信号检测方法具有一定的优越性。

关 键 词:阀值 弱信号检测 小波滤波器 设计 小波变换

Application and Design of the Wavelet Filter in Weak Signal Detection
LI Shi-ling,LI He-sheng,LI Zhi. Application and Design of the Wavelet Filter in Weak Signal Detection[J]. Journal of Southwest Jiaotong University, 2000, 35(1): 86-89
Authors:LI Shi-ling  LI He-sheng  LI Zhi
Abstract:A wavelet energy accumulation model, which can be used to obtain the accumulation in different decomposition scales, is designed on the basis of multi scale decomposition properties of wavelet transform. Furthermore, a wavelet energy detecting method for weak signal detection is presented, and the detection of signals with low signal to noise ratios (SNR) is experimentally simulated. The simulation results show that the detecting method proposed in this paper is fairly effective in detecting low SNR weak signals, and is advantageous over the conventional method which uses accumulating and averaging within a pulse.
Keywords:detection  threshold value  wavelet filtering technology  weak signals  detection probability  false alarm probability
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