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Preliminary Study of Matching Pursuit for Extracting GPR Rebar Reflections

机译:匹配探寻法提取GPR钢筋反射的初步研究

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Ground penetrating radar (GPR) has developed into a primary investigation tool for the non-destructive evaluation of reinforced concrete bridge deck. The collected GPR signals are generally composed of direct wave, rebar reflections, bottom reflection and noise. Before making GPR-based predictions, rebar reflections need to be extracted first. One obstacle is that the first rebar layer is in the shallow subsurface in some cases and the target signals may be overlapped with the direct waves. Another problem associated is that the testing surfaces may be rough in real field testing environments, which lead to strong uneven direct waves in the collected signals. This kind of direct wave cannot be removed by the commonly adopted average removing method. In this paper, Matching pursuits equipped with a customized dictionary are applied to deal with the above mentioned two problems. The dictionary is built based on the excitation function and the electromagnetic scattering mechanisms. Compared to the commonly used Gabor dictionary, the proposed dictionary is more adapted to the GPR wavefronts and each target signal can be reconstructed by just one atom, In addition, there is no need for a reference signal that is not always available. The performance of the proposed method is evaluated by simulation data in this paper.
机译:探地雷达(GPR)已发展成为用于钢筋混凝土桥面板的无损评估的主要调查工具。收集的GPR信号通常由直接波,钢筋反射,底部反射和噪声组成。在进行基于GPR的预测之前,需要首先提取钢筋反射。一个障碍是,在某些情况下,第一钢筋层位于浅地下,目标信号可能会与直接波重叠。另一个相关的问题是,在现实的测试环境中,测试表面可能很粗糙,从而导致采集信号中强烈的不均匀直达波。这种直接波不能通过通常采用的均值消除方法来消除。在本文中,配备有定制词典的Matching追求被用于解决上述两个问题。该词典是基于激励函数和电磁散射机制构建的。与常用的Gabor字典相比,建议的字典更适合GPR波前,每个目标信号仅需一个原子即可重建。此外,不需要始终可用的参考信号。本文通过仿真数据对所提方法的性能进行了评估。

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