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

M. Shamsaddini, A. Tavakoli, P. Dehkhoda
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引用次数: 2

Abstract

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.
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用一种新的智能方法研究埋在略粗糙表面下的介电圆柱体的反电磁散射
本文提出了一种基于逆散射技术和一种新的自适应Shuffled Frog leapalgorithm (NASFLA)的智能方法,用于检测微粗糙表面下埋藏的二维圆柱体的半径、介电常数和位置。在该方法中,改进的NASFL算法通过正演问题的迭代使未知埋地圆柱的测量信息与仿真结果之间的差异最小化。为了加快计算速度,提出了一种解析法作为正解。该分析方法采用小摄动法(SPM)分析微粗糙表面的散射,并考虑了粗糙表面与埋地圆柱之间的多重相互作用。另一方面,利用矩量法(MoM)获得了合成的实测数据。此外,本文还提出了一种新的自适应青蛙跳跃规则,提高了算法的局部搜索能力和性能,加快了算法的收敛速度。为了验证该方法的有效性和准确性,对埋在略粗糙表面下具有正弦剖面的介电圆柱对TM极化入射波的反散射进行了模拟。仿真结果表明,该方法能够有效地确定被埋物体的参数。
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