Identification and extraction of lateral target signals in tunnel geological prediction with the Karhunen-Loéve beamforming method

Yue, Yonggao; Wu, Zhiyuan; Wang, Shusheng; Wan, Lei; Wang, Panfeng; Yang, Xiaohan; Cui, Yinghao; Zhang, Kai; Deng, Lijuan

doi:10.1016/j.jappgeo.2023.105167

Journal of Applied Geophysics

2023

DOI: 10.1016/j.jappgeo.2023.105167

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Identification and extraction of lateral target signals in tunnel geological prediction with the Karhunen-Loéve beamforming method

Yonggao Yue,

Zhiyuan Wu,

Shusheng Wang

et al.

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2024

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Tunnel environment noise suppression by SVD-DSW method

Yue,

Zeng,

et al. 2024

J. Phys.: Conf. Ser.

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There is strong random noise in seismic records of tunnel seismic advance detection, which makes it difficult to obtain the underground lithology information in front of tunnel face accurately. Aiming at the problem that random noise is difficult to suppress in tunnel environment, a method of SVD-DSW is proposed in our research. Different from the directional seismic wave method, the proposed method is to stack the target signal after leveling. Then, the target signal with stronger coherence is extracted by singular value decomposition and target signal reconstruction, and finally reverse correct the extracted coherent signal to get the target signal. Simulation results and field data analysis show that the SVD-ICA theoretical approach is feasible for improving the SNR of the target signal in three-component seismogram, which is of great significance to increase detection range and resolution of tunnel seismic advance prediction.

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Tunnel environment noise suppression by SVD-DSW method

Yue,

Zeng,

et al. 2024

J. Phys.: Conf. Ser.

Self Cite

View full text Add to dashboard Cite

show abstract

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Identification and extraction of lateral target signals in tunnel geological prediction with the Karhunen-Loéve beamforming method

Cited by 1 publication

References 19 publications

Tunnel environment noise suppression by SVD-DSW method

Tunnel environment noise suppression by SVD-DSW method

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