An Efficient Higher-Order Parallel MLFMA with Hybrid Singularity Cancellation Strategy

Applying higher-order technologies to method of moments (MoM) and multilevel fast multipole algorithm (MLFMA) will commonly encounter the crisis of singularity cancellation. To obtain satisfactory accuracy and computational efficiency, parallel MLFMA based on surface integral equations (SIEs) together with a hybrid singularity cancellation strategy (HSCS) is presented in this paper. For electric field integral equation (EFIE) singularities and near singularities, an improved Duffy's transform is employed; while for magnetic field integral equation (MFIE) singularities, nonoverlapping integration rules for source and field elements are adopted to calculate the principle value term. Performance of this proposed approach is demonstrated via preliminary numerical results.

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Published
2024-10-23
DOI
https://doi.org/10.1109/isape62431.2024.10841025
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
Field-Weighted Citation Impact
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An Efficient Higher-Order Parallel MLFMA with Hybrid Singularity Cancellation Strategy

Zichen Li, Xin‐Qing Sheng, Bi‐Yi Wu, Ming-Lin Yang et al.
Advanced Adaptive Filtering Techniques
article

An Efficient Higher-Order Parallel MLFMA with Hybrid Singularity Cancellation Strategy

Zichen Li, Xin‐Qing Sheng, Bi‐Yi Wu, Ming-Lin Yang, Wei-Jia He
article en

Abstract

Applying higher-order technologies to method of moments (MoM) and multilevel fast multipole algorithm (MLFMA) will commonly encounter the crisis of singularity cancellation. To obtain satisfactory accuracy and computational efficiency, parallel MLFMA based on surface integral equations (SIEs) together with a hybrid singularity cancellation strategy (HSCS) is presented in this paper. For electric field integral equation (EFIE) singularities and near singularities, an improved Duffy's transform is employed; while for magnetic field integral equation (MFIE) singularities, nonoverlapping integration rules for source and field elements are adopted to calculate the principle value term. Performance of this proposed approach is demonstrated via preliminary numerical results.

Beijing Institute of Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 72%
Advanced Adaptive Filtering Techniques
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An Efficient Higher-Order Parallel MLFMA with Hybrid Singularity Cancellation Strategy — Zichen Li, Xin‐Qing Sheng, et al. · (2024) | TGRS Research Map | TGRS