GPR Image Focusing Using Matched Filter Algorithm

Deniz Ustun, E. Yiğit, A. Toktas, K. Sabanci, Huseyin Duysak
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Abstract

In this study a synthetic aperture radar-based reconstruction technique is applied to focus the unwanted disruptive effects in the two-dimensional ground penetrating radar data. The formulation of the applied Matched Filter Algorithm (MFA) which completely removes the hyperbolic effects is presented in detail. To test the capability of the proposed technique an experimental measurement setup is constructed in the laboratory and MFA is operated to gathered real GPR data. Thanks to the applied technique, high-resolution focused B-Scan GPR images are successfully obtained.
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基于匹配滤波算法的GPR图像聚焦
本研究采用一种基于合成孔径雷达的重建技术,对二维探地雷达数据中的不良干扰效应进行聚焦。详细介绍了完全消除双曲效应的应用匹配滤波算法(MFA)的公式。为了测试该技术的性能,在实验室中建立了实验测量装置,并使用MFA收集了真实的探地雷达数据。应用该技术,成功获得了高分辨率聚焦b扫描GPR图像。
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