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首页> 外文期刊>Subsurface Sensing Technologies and Applications >Suppressing GPR Clutter from Randomly Rough Ground Surfaces to Enhance Nonmetallic Mine Detection
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Suppressing GPR Clutter from Randomly Rough Ground Surfaces to Enhance Nonmetallic Mine Detection

机译：抑制来自随机粗糙地面的GPR杂波，以增强非金属地雷的探测能力

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摘要

This study attempts to quantify the ground penetrating radar rough ground surface clutter by numerical modeling of wave scattering, and establish a strategy to suppress the clutter for given test signals. The goal is to improve the GPR detection statistics for small, buried, low-contrast nonmetallic antipersonnel mines. Using a model of an experimentally measured impulse GPR signal, we simulate the ground surface and buried low-contrast mine target scattered responses. We employ a 2D finite difference lime domain (FDTD) method to analyze the pulse shape, delay, and amplitude characteristics of the scattered waves-with and without buried nonmetallic mine targets-as a function of roughness parameters. Five hundred Monte Carlo simulations of various test cases of specified ground root mean square height and correlation length were run to generate statistics for the clutter and target signal variations. In addition, the effectiveness of identifying and removing the ground surface clutter signal for detecting subsurface targets is presented. Results indicate that even with moderate roughness, statistics can be generated to enhance the detection of small, shallow, low-contrast targets.
机译：本研究试图通过波散射的数值模拟来量化穿透地面的雷达粗糙地面的杂波，并建立一种抑制给定测试信号的杂波的策略。目标是改善小型，埋藏，低对比度非金属杀伤人员地雷的GPR检测统计数据。使用实验测量的脉冲GPR信号模型，我们模拟了地面和埋藏的低对比度地雷目标散射响应。我们采用二维有限差分石灰域（FDTD）方法来分析具有和不具有埋入非金属矿山目标的散射波的脉冲形状，延迟和幅度特征，这是粗糙度参数的函数。对指定地基均方根高度和相关长度的各种测试案例进行了500次蒙特卡洛模拟，以生成杂波和目标信号变化的统计数据。另外，提出了识别和去除地面杂波信号以检测地下目标的有效性。结果表明，即使粗糙度适中，也可以生成统计信息以增强对小的，浅的，低对比度目标的检测。

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