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Inverse electromagnetic scattering of a dielectric cylinder buried below a slightly rough surface using a New intelligence approach

机译:使用新的智能方法,将电介质圆柱体掩埋在略微粗糙的表面之下,从而实现反向电磁散射

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This paper presents a new intelligence method, based on an inverse scattering technique and a New Adaptive Shuffled Frog Leaping Algorithm (NASFLA), to detect the radius, permittivity and location of a buried 2-D circular cylinder under a slightly rough surface. In the proposed approach, the suggested improved NASFL algorithm minimizes the difference between the measured information of an unknown buried cylinder and the obtained simulation results through the iterations of a forward problem. In order to speed up the computations, an analytical method is proposed as the forward solution. This analytical method utilizes the small perturbation method (SPM) for the scattering from the slightly rough surface and considers all multiple interactions between the rough surface and the buried cylinder. On the other hand, the synthetic measured data is obtained by using the method of Moments (MoM). Furthermore, in this paper, a new adaptive frog leaping rule is proposed to enhance the local exploration, performance and quicker algorithm convergence. To show the effectiveness and accuracy of the proposed method, the inverse scattering from a dielectric circular cylinder buried under a slightly rough surface, with sinusoidal profile, is simulated for a TM polarized incident wave. The obtained results show the capability of the suggested approach to determine the parameters of the buried object.
机译:本文提出了一种新的智能方法,该方法基于逆散射技术和新的自适应随机跳蛙算法(NASFLA),可以检测略微粗糙表面下的二维二维圆柱体的半径,介电常数和位置。在所提出的方法中,所提出的改进的NASFL算法通过正向问题的迭代使未知的埋藏圆柱体的测量信息与所获得的模拟结果之间的差异最小化。为了加快计算速度,提出了一种解析方法作为正解。该分析方法利用小扰动方法(SPM)来从略微粗糙的表面散射,并考虑了粗糙表面和埋圆柱体之间的所有多重相互作用。另一方面,通过使用矩量法(MoM)获得合成的测量数据。此外,本文提出了一种新的自适应蛙跳规则,以增强局部探索,性能和更快的算法收敛性。为了显示所提方法的有效性和准确性,模拟了TM偏振入射波从埋在略呈粗糙表面的正弦曲线下的电介质圆柱体的反向散射。获得的结果表明了所建议方法确定掩埋物体参数的能力。

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