探地雷达信号杂波抑制

Clutter reduction for ground penetrating radar signal

探地雷达在探测地下目标时,存在大量的杂波干扰,致使目标信号难以分辨,因此去除杂波显得尤为重要。为提高探地雷达信号的信杂比,根据探地雷达数据的特点,基于小波变换,以奇异值分解为核心,通过MATLAB编程,形成Wavelet-SVD算法,处理探地雷达数据,对处理前后的图像进行对比分析,Wavelet-SVD方法可以抑制杂波信号,突出目标有效信号,实验数据处理结果表明该算法优于均值滤波以及单独使用小波变换或者奇异值分解方法,使得信号失真小,并可实时处理,提高了信杂比以及探地雷达剖面的分辨率。

When ground penetrating radar detects underground targets,there is a lot of clutter interference,which makes the target signal difficult to distinguish,so it is especially important to remove clutter.In order to improve the signal-to-cluttere ratio of ground penetrating radar signals,based on the characteristics of GPR data,and based on 2D wavelet transform and uses singular value decomposition (SVD)as the core,and wavelet-SVD algorithm is formed by MATLAB programming to process ground penetrating radar data.By comparing and analyzing the images before and after processing,the wavelet-SVD method can suppress the clutter signal and highlight the target effective signal.The experimental data processing results show that the algorithm is better than the mean filtering and the wavelet transform or singular value decomposition method alone,which makes the signal distortion small.And can be processed in real time,which improves the signal-to-clutter ratio and the resolution of the ground penetrating radar profile.