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A new method to simultaneously estimate the radius of a cylindrical object and the wave propagation velocity from GPR data

机译:同时根据GPR数据估算圆柱物体半径和波传播速度的新方法

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We present a new method to simultaneously estimate cylindrical object radius (R) and electromagnetic (EM) wave propagation velocity (v) from ground penetrating radar (GPR) data. R estimation methods have been investigated since the middle of the previous decade, but studies have become more intensive and important over the last several years since they increase the utility of GPR data and enable new GPR applications. Since existing methods, according to the author's best knowledge, are based on a priori known v, the proposed method has an advantage: it eliminates the measurement of v and its influence on R estimation quality. Estimating v accurately results in better soil characterisation.rnThree steps are used to simultaneously estimate v and R. First, using the extracted raw data, the coordinates of the hyperbola apex (x_o, t_o) are estimated. Second, the boundary speed (v_o) is estimated, based on the previous results. In the final step, v is reduced from v_o to a predefined v_(min). From the analysis of propagation velocity choice criterion, an optimal v is chosen, which is used to calculate a unique R. This proposed method is a nonlinear least squares fitting procedure. The method is implemented and verified, using data collected under real conditions, in a Matlab environment.rnA comparison of the proposed and existing methods shows that the new method is significantly more accurate and robust with regard to noise and the amount of raw data.
机译:我们提出了一种从地面穿透雷达(GPR)数据同时估算圆柱物体半径(R)和电磁(EM)波传播速度(v)的新方法。 R估算方法自上个十年中期开始就得到了研究,但是由于它们增加了GPR数据的实用性并启用了新的GPR应用,因此在过去的几年中研究变得更加深入和重要。由于根据作者的最佳知识,现有方法基于先验已知的v,因此所提出的方法具有一个优点:它消除了v的测量及其对R估计质量的影响。准确估算v可得到更好的土壤特性。使用三个步骤同时估算v和R。首先,使用提取的原始数据估算双曲线顶点的坐标(x_o,t_o)。其次,根据先前的结果估算边界速度(v_o)。在最后一步中,将v从v_o减小到预定义的v_(min)。通过对传播速度选择准则的分析,选择了最优v来计算唯一R。该方法是非线性最小二乘拟合程序。该方法是在Matlab环境中使用在真实条件下收集的数据来实现和验证的。所提方法与现有方法的比较表明,该方法在噪声和原始数据量方面明显更准确,更可靠。

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