Random noise suppression method and device for ground penetrating radar data

Abstract

The present application relates to the technical field of signal processing, in particular to a random noise suppression method and device for ground penetrating radar data, wherein the method comprises: performing self-similar block matching processing on original ground penetrating radar data to obtain a self-similar block matrix; performing multiple synchronous squeezing transformation on the self-similar block matrix to obtain a multiple synchronous squeezing transformation result three-dimensional matrix; applying low-rank constraint to the multiple synchronous squeezing transformation result three-dimensional matrix to establish a low-rank matrix and a sparse matrix; superimposing the low-rank matrix to obtain a time domain denoising result, and reconstructing effective signals according to the time domain denoising result to generate ground penetrating radar data after random noise suppression. Thus, the problems of insufficient adaptability, signal structure damage, weak non-stationary processing capability and poor low-energy target extraction effect of the existing random noise suppression method for ground penetrating radar data are solved.

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