Wavelet based clutter reduction of GPR data

N. Smitha
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引用次数: 2

Abstract

Detection and location of buried low/non metallic mines is done using electromagnetic waves penetration through these objects. The reflections of the buried objects are covered by the clutters reflected from the ground. Hence, it is tough in extracting object signal from the received GPR data. In this part of work to reduce clutter, a signal processing technique based on the discrete wavelet transform (DWT) is implemented. We have considered various cases and conducted experiments for targets at different depths. The processed output clearly indicates that by using this method, the peak signal-to-noise ratio (PSNR) of detection data is significantly improved over a particular level of wavelet.
基于小波变换的探地雷达杂波降噪
埋地低/非金属地雷的探测和定位是利用电磁波穿透这些物体来完成的。被埋物体的反射被地面反射的杂波所覆盖。因此,从接收到的探地雷达数据中提取目标信号比较困难。在这部分工作中,实现了一种基于离散小波变换(DWT)的信号处理技术。我们考虑了各种情况,并对不同深度的目标进行了实验。处理后的输出清楚地表明,通过使用该方法,检测数据的峰值信噪比(PSNR)在特定的小波水平上显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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