首页 | 本学科首页   官方微博 | 高级检索  
     检索      

多重自相关在微弱低频电磁信号检测中的应用
引用本文:李晓鹏,席继楼,刘超,宋艳茹.多重自相关在微弱低频电磁信号检测中的应用[J].地震地磁观测与研究,2011,32(4):44-49.
作者姓名:李晓鹏  席继楼  刘超  宋艳茹
作者单位:中国北京100036 中国地震局地震预测研究所
基金项目:中国地震局地震预测研究所基本科研业务专项
摘    要:低频电磁信号在地下电性结构探测中具有重要作用,经过长距离传播,信号衰减,可能被淹没于噪声中.利用多重自相关检测方法,对微弱低频电磁信号进行检测,并与自适应滤波法和离散小波变换法进行对比.利用Matlab对3种算法进行仿真研究.结果表明,多重自相关法能更好抑制噪声,有效检测微弱信号,检测性能优于小波变换法和自适应滤波法.

关 键 词:微弱信号  信号检测  自适应滤波  多重自相关检测  离散小波变换

Application of multi-layer autocorrelation to the detection of dlectro-magnetic signal of weak low frequency
Li Xiaopeng,Xi Jilou,Liu Chao,Song Yanru.Application of multi-layer autocorrelation to the detection of dlectro-magnetic signal of weak low frequency[J].Seismological and Geomagnetic Observation and Research,2011,32(4):44-49.
Authors:Li Xiaopeng  Xi Jilou  Liu Chao  Song Yanru
Institution:(Institute of Earthquake Science, China Earthquake Administration, Beijing 100036, China)
Abstract:Low-frequency electro-magnetic signal is very important in the underground detection of the electrical structure. The signal can be attenuated after a long distances transmission, and it may be submersed by strong noise. Multi-layer autocorrelation is used to detect electro- magnetic signal of weak low frequency in this paper, and compared with adaptive filtering and discrete wavelet transform. Matlab is used to make modeling and simulation and the resuits are compared with each means. Simulation results show that multi-layer autocorrelation can be smooth noise and extract useful signal effectively, and is better than others in majority aspects.
Keywords:weak signal  signal detection  adaptive filtering  multi-layer autocorrelation  discrete wavelet transform
本文献已被 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