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

机译:基于局部均值分解和到达时间差的地表震源定位方法研究

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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.
机译:本文提出了一种基于到达时间差(TDOA)和局部均值分解(LMD)的地表地震震源定位方法。小波包滤波器用于减少地震信号的环境噪声。由于地震信号的非平稳性和随机性,因此采用LMD对地震信号进行分析。在对地震信号进行局部均值分解之后,可以获得生产函数(PF)分量。然后,基于互相关系数来选择主PF分量。可以通过对时间进行纯频率调制信号的导数来获取主PF分量的瞬时频率分布。在频谱图中,选择与振幅的最大值相对应的频率作为特征频率。最后,可以根据瞬时频率分布中特征频率首次出现的时刻得到到达时间差。实验结果表明,该方法是有效的。

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