An Efficient MLFMA Solution of Self-Dual Integral Equation for EM Analysis of Multiscale IBC Objects

A fast and efficient method is proposed to analyze electromagnetic (EM) scattering of multiscale objects with impedance boundary condition (IBC). The self-dual integral equation (SDIE) in combination with the mixed-potential (MiP) multilevel fast multipole algorithm (MLFMA) is used to calculate EM scattering from the IBC targets, in which the incomplete-leaf (ICL) tree structure and interpolative-decomposition (InDe) based skeletonization technique is utilized to reduce excessive memory usage imposed by multiscale IBC targets meshed with large multiscale factor (MSF). A difference matrix generated from the near-field interactions by two grouping schemes is supplemented in the sparse approximate inverse (SAI) preconditioner to speed up the convergence of the iterative solvers. Numerical experiments demonstrate the effectiveness of the presented method.

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Publication Details

Journal
IEEE Antennas and Wireless Propagation Letters
Published
2024-12-18
DOI
https://doi.org/10.1109/lawp.2024.3520183
Citations
1
Primary Topic
Electromagnetic Simulation and Numerical Methods
Type
article
Field-Weighted Citation Impact
0.21
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article

An Efficient MLFMA Solution of Self-Dual Integral Equation for EM Analysis of Multiscale IBC Objects

Mang He, Pengyuan Wang, Jintong Liu
1 citations
IEEE Antennas and Wireless Propagation Letters
Electromagnetic Simulation and Numerical Methods
0.21
article

An Efficient MLFMA Solution of Self-Dual Integral Equation for EM Analysis of Multiscale IBC Objects

Mang He, Pengyuan Wang, Jintong Liu
article en
1 citations

Abstract

A fast and efficient method is proposed to analyze electromagnetic (EM) scattering of multiscale objects with impedance boundary condition (IBC). The self-dual integral equation (SDIE) in combination with the mixed-potential (MiP) multilevel fast multipole algorithm (MLFMA) is used to calculate EM scattering from the IBC targets, in which the incomplete-leaf (ICL) tree structure and interpolative-decomposition (InDe) based skeletonization technique is utilized to reduce excessive memory usage imposed by multiscale IBC targets meshed with large multiscale factor (MSF). A difference matrix generated from the near-field interactions by two grouping schemes is supplemented in the sparse approximate inverse (SAI) preconditioner to speed up the convergence of the iterative solvers. Numerical experiments demonstrate the effectiveness of the presented method.

IEEE Antennas and Wireless Propagation LettersVol. 24(4)
Beijing Institute of Technology (CN)
Openalex Percentile: Top 45%
Electromagnetic Simulation and Numerical Methods
0.21
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An Efficient MLFMA Solution of Self-Dual Integral Equation for EM Analysis of Multiscale IBC Objects — Mang He, Pengyuan Wang, et al. · IEEE Antennas and Wireless Propagation Letters (2024) | TGRS Research Map | TGRS