High-speed rail seismic source seismic signal extraction method based on equidistant spectrum characteristics

Abstract

The invention discloses a high-speed rail seismic source seismic signal extraction method based on equidistant spectrum characteristics. The method comprises the following steps of estimating the intervals of equidistant spectrums in an amplitude spectrum of the acquired high-speed rail seismic source seismic data; then, using a morphological component analysis method, on the basis of discrete cosine transform, to construct a new transform mode with interval constraints to represent the high-speed rail seismic source seismic signals more sparsely, using the continuous wavelet transform for sparsely representing the strong background noise in the high-speed rail seismic source seismic data, and constructing an over-complete dictionary; separating and extracting the high-speed rail seismic source seismic signal and the strong background noise in the high-speed rail seismic source seismic data by using a block coordinate relaxation algorithm, and filtering the random white noise, so thatthe extracted high-speed rail seismic source seismic signal is more complete in structure and higher in signal-to-noise ratio.

Description

technical field [0001] The invention belongs to the technical field of seismic exploration data processing, in particular to a method for extracting high-speed rail source seismic signals based on equidistant spectral features in massive seismic data. Background technique [0002] At present, most studies are devoted to suppressing or circumventing these effects, but this will waste the huge amount of seismic data generated by the daily operation of high-speed trains. Mining these data to extract effective signals inspired by the operation of high-speed trains can not only analyze the running status of high-speed trains or serve as basic data for other subsequent applications, but also a practical application that turns waste into treasure. [0003] The existing trap method needs to know the harmonic frequency to design the trap, and multiple traps need to be designed to separate the narrow-band signal, which will also cause damage to the narrow-band high-speed rail source...

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Problems solved by technology

[0003] The existing trap method needs to know the harmonic frequency to design the trap, and multiple traps need to be designed to separate the narrow-band signal, which will also cause damage to the narrow-band high-speed rail source seismic signal when there are many frequency bands; The existing sparse modeling of high-speed rail source seismic signals by morphological component analysis has realized the suppression of broadband background noise. Since the equal interval characteristics of the amplitude spectrum of high-speed rail source seismic signals have not been utilized, the extracted high-speed rail source The signal-to-noise ratio of the seismic signal is low, containing some background noise and random white noise

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