GPR echo signal denoising method based on improved WTD and VMD

By optimizing VMD parameters with HHO and wavelet thresholding with PSO, and combining the improved wavelet thresholding function and correlation coefficient method, the problems of parameter adaptability and noise suppression accuracy in GPR signal denoising were solved, achieving a balance between signal detail preservation and noise suppression, and improving the interpretation accuracy of GPR data.

CN121995344AActive Publication Date: 2026-05-08CHINA UNIV OF PETROLEUM (EAST CHINA)
10 Cites 0 Cited by

Patent Information

Application Number
CN202610465626.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-10
Publication Date
2026-05-08
Estimated Expiration
2046-04-10

AI Technical Summary

Technical Problem

Existing GPR signal denoising methods have not yet achieved an effective balance between parameter adaptability, noise suppression accuracy, and signal detail preservation. Traditional WTD and VMD methods suffer from limitations in threshold functions and reliance on human experience in parameter selection, resulting in poor denoising performance.

Method used

The Harris Eagle Optimization (HHO) algorithm is used to optimize the decomposition mode number and penalty factor of VMD, and the Particle Swarm Optimization (PSO) algorithm is combined to optimize wavelet thresholding. By improving the wavelet threshold function and the correlation coefficient method, signal noise is distinguished, and the mean method is combined to remove direct waves, forming an adaptive denoising process.

Benefits of technology

It significantly improves the signal-to-noise separation accuracy, effectively preserves weak target signals, significantly suppresses direct wave interference, and enhances the accuracy of GPR data interpretation, making it highly practical for engineering applications.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of geophysical exploration signal processing, and discloses a GPR echo signal denoising method based on improved WTD and VMD. Comprising the following steps: adaptively optimizing a decomposition modal number and a penalty factor of the VMD by utilizing an HHO algorithm; performing 2D-VMD decomposition on the original GPR data by using the optimal parameter to obtain a plurality of IMFs; dividing the IMF into a signal IMF and a noise IMF through a correlation coefficient; a wavelet threshold parameter is optimized and improved by using a PSO algorithm, and the noise IMF is processed; and after reconstruction, direct waves are removed by adopting an averaging method. Through a dual parameter optimization mechanism, an improved threshold function with continuity and no deviation and a differential threshold processing strategy, adaptive high-precision denoising of a GPR signal is realized, the signal-to-noise ratio is effectively improved, a weak target signal is reserved, direct wave interference is remarkably suppressed, and the method has the advantages of high robustness and high robustness. The method has the advantages of high parameter adaptive capacity, high denoising precision, high engineering practicability and the like.
Need to check novelty before this filing date? Find Prior Art