文献类型：期刊文献

英文题名：Suppression of periodic interference during tunnel seismic predictions via the Hankel-SVD-ICA method

作者：Yue, Yonggao[1,2];Jiang, Tao[1,2];Han, Chun[3];Wang, Jingye[1,2];Chao, Yunfeng[1,2];Zhou, Qi[1,2]

第一作者：Yue, Yonggao

通讯作者：Jiang, T[1]

机构：[1]Jilin Univ, Minist Educ, Key Lab Geoexplorat & Instrumentat, Changchun 130026, Jilin, Peoples R China;[2]Jilin Univ, Coll Instrumentat & Elect Engn, 938 Ximinzhu St, Changchun 130026, Jilin, Peoples R China;[3]Xinxiang Univ, Coll Civil Engn, Xinxiang 453000, Henan, Peoples R China

第一机构：Jilin Univ, Minist Educ, Key Lab Geoexplorat & Instrumentat, Changchun 130026, Jilin, Peoples R China

通讯机构：[1]corresponding author), Jilin Univ, Coll Instrumentat & Elect Engn, 938 Ximinzhu St, Changchun 130026, Jilin, Peoples R China.

年份：2019

卷号：168

起止页码：107-117

外文期刊名：JOURNAL OF APPLIED GEOPHYSICS

收录：;EI(收录号：20192607112751);Scopus(收录号：2-s2.0-85067884565);WOS:【SCI-EXPANDED(收录号:WOS:000483006500011)】；

基金：We would like to Professor Jun Lin for his helpful comments that improved this work. We would also like to thank the editor and reviewers for their careful and helpful comments, which helped us to improve our manuscript. This research is supported by the National Natural Science Foundation of China (40674096), the Deep Exploration in China Program (201311197-2 and 201011083-1-3), the Henan province key research and development and promotion special of china (182102310806), the High-tech R&D Program of China (2002AA135240), and the Specialized Research Fund for the Doctoral Program of Higher Education of China (20110061110053).

语种：英文

外文关键词：Tunnel seismic prediction (TSP); Independent component analysis (ICA); Hankel matrix; Singular value decomposition (SVD); Periodic interference

摘要：Periodic interference is one of the most common interference sources in tunnel seismic prediction (TSP). This noise can deleteriously affect signal quality, and the signal can be completely drowned out by the noise in some cases, which can seriously affect seismic wave velocity estimations and TSP detection distance and detection accuracy. To solve this problem, a single-channel independent component analysis (SICA) based on the Hankel matrix and a singular value decomposition (Hankel-SVD-ICA) is proposed to suppress the periodic interferences. The traditional band-pass filters and notch filters are ineffective when seismic data and the periodic interference bandwidths overlap. In this study, we used TSP data to evaluate the Hankel-SVD-ICA method in detail. The Hankel-SVD-ICA was tested on synthetic recordings and field data, and the results showed that the method effectively separates the seismic data from data mixed with strong periodic interferences when seismic data and periodic interference bandwidths overlap. Qualitative and quantitative comparisons show that the Hankel-SVD-ICA provides better recordings than both the Hankel matrix singular value decomposition (HMSVD) and notch filters. The comparisons also show higher quality data and a more reliable P-wave velocity assessment when the Hankel-SVD-ICA is applied to TSP data, which significantly increases the detection distance and improves the lithological interpretation. Moreover, we study the Hankel-SVD-ICA method for frequency time-varying periodic interference suppression in TSP, and the results provide a good reference for suppressing periodic interference in other fields. (C) 2019 Elsevier B.V. All rights reserved.