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首页> 外文期刊>Microwave Theory and Techniques, IEEE Transactions on >Fast Solutions of Volume Integral Equations for Electromagnetic Scattering by Large Highly Anisotropic Objects
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Fast Solutions of Volume Integral Equations for Electromagnetic Scattering by Large Highly Anisotropic Objects

机译:大型高度各向异性物体电磁散射的体积积分方程的快速解

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摘要

Accurate analysis of electromagnetic problems including inhomogeneous or anisotropic structures requires solving volume integral equations (VIEs) in the integral-equation approach. When the structures are electrically large in dimensions or constitutively complicated in materials, fast numerical algorithms are desirable to accelerate the solution process. Traditionally, such fast solvers are developed based on the method of moments (MoM) with the divergence-conforming Schaubert–Wilton–Glisson basis function or curl-conforming edge basis function, but the basis functions may not be appropriate to represent unknown functions in anisotropic media. In this work, we replace the MoM with the Nyström method and develop the corresponding multilevel fast multipole algorithm (MLFMA) for solving large highly anisotropic problems. The Nyström method characterizes the unknown functions at discrete quadrature points with directional components and more degrees of freedom and it also allows the use of JM-formulation, which does not explicitly include material property in the integral kernels in the VIEs. These features, with its other well-known merits, can greatly facilitate the implementation of MLFMA for anisotropic structures. Typical numerical examples are presented to demonstrate the algorithm and good results have been observed.
机译:对包括非均质或各向异性结构在内的电磁问题的准确分析要求以积分方程方法求解体积积分方程(VIE)。当结构的电尺寸大或材料组成复杂时,需要快速的数值算法来加速求解过程。传统上,这种快速求解器是基于矩量法(MoM)的,其具有发散一致性的Schaubert-Wilton-Glisson基函数或curl-一致性边缘基函数,但是基函数可能不适用于表示各向异性中的未知函数媒体。在这项工作中,我们用Nyström方法代替MoM,并开发了相应的多级快速多极算法(MLFMA)来解决较大的高度各向异性问题。 Nyström方法在具有方向性分量和更大自由度的离散正交点上表征未知函数,并且还允许使用JM公式,该公式未在VIE的积分内核中明确包含材料属性。这些功能以及其他众所周知的优点可以极大地促进对各向异性结构实施MLFMA。给出了典型的数值例子来说明该算法,并观察到了良好的结果。

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