Numerical Solutions of the Electromagnetic Scattering by Overfilled Cavities with Inhomogeneous Anisotropic Media
Year: 2023
Author: Meiling Zhao, Jiahui He, Liqun Wang
Communications in Computational Physics, Vol. 34 (2023), Iss. 2 : pp. 530–562
Abstract
In this paper, the electromagnetic scattering from overfilled cavities with inhomogeneous anisotropic media is investigated. To solve the scattering problem, a Petrov-Galerkin finite element interface method on non-body-fitted grids is presented. We reduce the infinite domain of scattering to a bounded domain problem by introducing a transparent boundary condition. The level set function is used to capture complex boundary and interface geometry that is not aligned with the mesh. Non-body-fitted grids allow us to save computational costs during mesh generation and significantly reduce the amount of computer memory required. The solution is built by connecting two linear polynomials across the interfaces to satisfy the jump conditions. The proposed method can handle matrix coefficients produced by permittivity and permeability tensors of anisotropic media. The final linear system is sparse, making it more suitable for most iterative methods. Numerical experiments show that the proposed method has good convergence and realizability. Meanwhile, we discover that the absorbing properties of anisotropic media clearly and positively influence the reduction of radar cross section. It has also been demonstrated that the method can achieve second-order accuracy.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/cicp.OA-2022-0104
Communications in Computational Physics, Vol. 34 (2023), Iss. 2 : pp. 530–562
Published online: 2023-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 33
Keywords: Electromagnetic scattering overfilled cavity inhomogeneous anisotropic media non-body-fitted grids Petrov-Galerkin finite element interface method.
Author Details
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Reconstruction of electromagnetic parameters of the scattering from overfilled cavities using a complex-valued convolutional neural network
Zhao, Meiling
Fei, Xiaochen
Wang, Liqun
Yuan, Zhanbin
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https://doi.org/10.1016/j.matcom.2024.07.016 [Citations: 0]