Random noise de-noising and direct wave eliminating in ground penetrating radar signal using SVD method

In this paper, we present a method using singular value decomposition (SVD) which aims at eliminating the random noise and direct wave from ground penetrating radar (GPR) signal. To demonstrate the validity and high efficiency of the eliminating random noise method using SVD, we first tested our proposed method with noisy synthetic data and field data. Then we carried out de-noising process using wavelet threshold de-noising method with the same data. After this, in order to demonstrate that SVD method can eliminate direct wave effectively, we tested our proposed method with synthetic data and field data. Next, we carried out direct wave eliminating process using mean trace deletion with the same data. We found that by choosing appropriate singular values after SVD with respect to GPR data, SVD method can eliminate the random noise and direct wave in the GPR data validly and efficiently to improve the resolution of the GPR profile.