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A de-noising method for GPR signal based on EEMD

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成果类型:
期刊论文、会议论文
作者:
Lu Gan;Long Zhou;Shanmei Liu
通讯作者:
Liu, Shan Mei
作者机构:
[Long Zhou; Lu Gan] School of Electric and Electronic Engineering, Wuhan Polytechnic University, Wuhan, China
[Shanmei Liu] College of informatics, Huazhong Agricultural University, Wuhan, China
通讯机构:
[Liu, S.M.] S
School of Electric and Electronic Engineering, Wuhan Polytechnic UniversityChina
语种:
英文
关键词:
De-noising;EEMD;EMD;GPR
期刊:
Applied Mechanics and Materials
ISSN:
1662-7482
年:
2014
卷:
687-691
页码:
3909-3913
会议名称:
International Conference on Manufacturing Technology and Electronics Applications
会议论文集名称:
Manufacturing technology, electronics, computer and information technology applications: Selected, peer reviewed papers from the 2014 International Conference on Manufacturing Technology and Electronics Applications (ICMTEA 2014), November 8-9, 2014, Taiyuan, Shanxi, China
会议时间:
2014-11-08
会议地点:
Taiyuan
主编:
Lin Z.Hu H.Zhang Y.Qiao J.Xu J.
出版者:
Trans Tech Publications Ltd
ISBN:
9783038353287
机构署名:
本校为第一机构
院系归属:
电气与电子工程学院
摘要:
Aiming at the de-noising of GPR echo signal, a de-noising method based on EEMD and wavelet is presented. First the echo signal data is processed with EEMD and yields IMF components. Then the IMF components which indicate noise are subtracted. Next, the high frequency IMF components of the remaining are subjected to wavelet threshold. Finally, the signal is reconstructed using the de-noising IMF and low frequency IMF to realize signal de-noising. Compared with other commonly used methods, EEMD-wavelet method has improvement on SNR. The experi...

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