Abstract
Abstract Addressing the impact of noise on target detection performance in Ground Penetrating Radar (GPR), an adaptive Variational Mode Decomposition (VMD) denoising scheme based on the Whale Optimization Algorithm (WOA) is proposed. An improved adaptive VMD method, based on WOA, is employed in this study for modal decomposition of GPR data, with target modes being retained and noise modes removed to obtain denoised GPR data. It is demonstrated by numerical simulation results that the SNR is increased by 20.846 dB through this scheme, surpassing common denoising methods and achieving the best results in terms of RMSE and MSE. Numerical simulations substantiate the scheme’s effectiveness in denoising GPR data.
Published Version
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