Random noise suppression method and device for ground penetrating radar data

By combining self-similar block matching and multiple synchronous squeezing transformation with low-rank constraints, the adaptability of noise suppression and low-energy target extraction in ground penetrating radar data are solved, achieving accurate separation of effective signals and noise and improvement of signal-to-noise ratio.

CN121522594BActive Publication Date: 2026-06-23TSINGHUA UNIVERSITY
View PDF 2 Cites 0 Cited by

Patent Information

Application Number
CN202511458293.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-10-13
Publication Date
2026-06-23
Estimated Expiration
2045-10-13

Smart Images

  • Figure CN121522594B_ABST
    Figure CN121522594B_ABST
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Mixed noise removal method and device, electronic equipment and storage medium

    CN111402173A

  • Sparse ISAR (Inverse Synthetic Aperture Radar) imaging method and system based on low rank and non-local self-similarity

    CN114966687A