Research on surface seismic source location method based on local mean decomposition and time difference of arrival

Weibo Liu; Kaiyan Li; Jiangtao Wen; Xiaojing Yu; Xijun Wu

doi:10.1117/12.2205677

3 December 2015 Research on surface seismic source location method based on local mean decomposition and time difference of arrival

Weibo Liu, Kaiyan Li, Jiangtao Wen, Xiaojing Yu, Xijun Wu

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Proceedings Volume 9794, Sixth International Conference on Electronics and Information Engineering; 979418 (2015) https://doi.org/10.1117/12.2205677
Event: Sixth International Conference on Electronics and Information Engineering, 2015, Dalian, China

Abstract

This paper presents a novel ground surface seismic source location method based on time difference of arrival (TDOA) and local mean decomposition (LMD). The wavelet packet filter is used for environmental noise reduction of seismic signal. Because of the non-stationary and randomness of seismic signal, LMD is applied to analyze seismic signal. The production function (PF) components can be obtained after the local mean decomposition to the seismic signal. Then, the principal PF component is selected based on the cross correlation coefficients. The instantaneous frequency distribution of principal PF component can be acquired by taking a derivative of pure frequency modulated signal with respect to time. In frequency spectrum graph, the frequency corresponding to the maximum of amplitude is selected as characteristic frequency. Finally, the time difference of arrival can be got according to the moment of characteristic frequency first appearance in instantaneous frequency distribution. The results of experiment show that the proposed method is effective.

Citation Download Citation

Weibo Liu, Kaiyan Li, Jiangtao Wen, Xiaojing Yu, and Xijun Wu "Research on surface seismic source location method based on local mean decomposition and time difference of arrival", Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 979418 (3 December 2015); https://doi.org/10.1117/12.2205677

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KEYWORDS

Signal processing

Wavelets

Sensors

Data acquisition

Modulation

Electronic filtering

Interference (communication)

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