文章基本信息

标题：Detection Method of Weak Low-Frequency Electromagnetic Signal Based on Multi-layer Autocorrelation
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作者：Zheng Dou ; Yu Tao ; Yun Lin 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：4
页码：27-36
DOI：10.14257/ijsip.2016.9.4.03
出版社：SERSC
摘要：Low frequency electromagnetic signals play an important role in the detection of underground electrical structure. After propagation of long distance, signal will be attenuated to a certain extent and probably buried in noise, make it difficult to extract. In this paper, the method of multi-layer autocorrelation will be used to detect and extract the weak low frequency electromagnetic signal, and its performance will be compared with the narrow-band filter and the method of synchronous accumulation. Simulation results show that the correlation coefficient of signal obtained by multi-layer autocorrelation and source signal can achieve more than 0.8 when SNR is -18dB. However, the value of narrow-band filter and synchronous accumulation is lower than that mentioned above when SNR is only -14dB. Experimental verifies that multi-layer autocorrelation method can suppress noise more effectively and detect weak signals more accurately.
关键词：Weak signal detetion; Multi-layer autocorrelation; Narrow-band filter; ; Synchronous accumulation