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Effect of soil roughness on the inversion of off-ground monostatic GPR signal for noninvasive quantification of soil properties

机译:土壤粗糙度对离地单基地GPR信号反演的影响

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摘要

We report on a laboratory experiment that investigates the effect of soil surface roughness on the identification of the soil electromagnetic properties from full-wave inversion of ground-penetrating radar (GPR) data in the frequency domain. The GPR system consists of an ultrawide band stepped-frequency continuous-wave radar combined with an off-ground monostatic horn antenna. Radar measurements were performed above a rectangular container filled with a loose sandy soil subject to seven water contents and four random surface roughnesses, including a smooth surface as reference. Compared to previous studies, we have reduced the modeling error of the GPR signal for the smooth surface case thanks to improved antenna transfer functions by solving an overdetermined system of equations based on six model configurations instead of only three. Then, the continuously increasing effect of surface roughness on the radar signal with respect to frequency is clearly observed. In close accordance with Rayleigh's criterion, both the radar signal and the inversely estimated parameters are not significantly affected if the surface protuberances are smaller than one eighth of a wavelength. In addition, when this criterion is not respected, errors are made in the estimated parameters, but the inverse solution remains stable. This demonstrates the promising perspectives for application of GPR for noninvasive water content estimation in agricultural and environmental field applications.
机译:我们报告了一个实验室实验,该实验研究了频域中探地雷达(GPR)数据的全波反演中土壤表面粗糙度对土壤电磁特性识别的影响。 GPR系统由超宽带步进频率连续波雷达与离地单静态号角天线组合而成。在矩形容器上方进行雷达测量,该容器装有疏松的沙土,要经受七个水含量和四个随机表面粗糙度的影响,其中包括光滑的表面作为参考。与以前的研究相比,由于改进了天线传递函数,我们解决了基于六个模型而非三个模型的超定方程组,从而减少了GPR信号在光滑表面情况下的建模误差。然后,可以清楚地观察到表面粗糙度对雷达信号相对于频率的不断增加的影响。严格按照瑞利准则,如果表面隆起小于波长的八分之一,则雷达信号和反估计参数都不会受到显着影响。另外,当不遵守该标准时,估计的参数会产生误差,但是反解保持稳定。这证明了在农业和环境领域应用中将GPR应用于无创含水量估算的前景广阔。

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