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Efficient reconstruction of dispersive dielectric profiles using time domain reflectometry (TDR)

机译:使用时域反射仪(TDR)高效重建色散介电分布

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摘要

We present a numerical model for time domain reflectometry (TDR) signal propagation in dispersive dielectric materials. The numerical probe model is terminated with a parallel circuit, consisting of an ohmic resistor and an ideal capacitance. We derive analytical approximations for the capacitance, the inductance and the conductance of three-wire probes. We couple the time domain model with global optimization in order to reconstruct water content profiles from TDR traces. For efficiently solving the inverse problem we use genetic algorithms combined with a hierarchical parameterization. We investigate the performance of the method by reconstructing synthetically generated profiles. The algorithm is then applied to retrieve dielectric profiles from TDR traces measured in the field. We succeed in reconstructing dielectric and ohmic profiles where conventional methods, based on travel time extraction, fail.
机译:我们提出了时域反射测量(TDR)信号在分散介电材料中传播的数值模型。数值探针模型以并联电路作为终端,并联电路由欧姆电阻和理想电容组成。我们得出三线探针的电容,电感和电导的分析近似值。我们将时域模型与全局优化结合在一起,以便从TDR迹线中重建水分含量曲线。为了有效地解决反问题,我们使用遗传算法和层次化参数化相结合。我们通过重建合成生成的配置文件来研究该方法的性能。然后将该算法应用于从现场测量的TDR迹线中检索介电剖面。我们成功地重建了基于行进时间提取的传统方法失败的介电和欧姆分布。

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