Efficient Solution of Characteristic Modes Using Wideband Sherman-Morrison-Woodbury Algorithm

In characteristic mode analysis (CMA), characteristic modes (CMs) on wideband frequency need to be solved for analyzing physical characteristics. This paper proposes an efficient method to obtain wideband CMs by solving the generalized eigenvalue problems (GEPs). In this method, the wideband Sherman-Morrison-Woodbury algorithm (WSMWA) is embedded into implicitly restarted Arnoldi method (IRAM). Numerical results show that the proposed method can save much CPU time.

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Published
2024-08-16
DOI
https://doi.org/10.1109/aces-china62474.2024.10699982
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
0.00

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Efficient Solution of Characteristic Modes Using Wideband Sherman-Morrison-Woodbury Algorithm

Wu Yang, Weibing Lu, Xinlei Chen, Hao Meng et al.
Advanced Fiber Optic Sensors
article

Efficient Solution of Characteristic Modes Using Wideband Sherman-Morrison-Woodbury Algorithm

Wu Yang, Weibing Lu, Xinlei Chen, Hao Meng, Mingxin Wang
article en

Abstract

In characteristic mode analysis (CMA), characteristic modes (CMs) on wideband frequency need to be solved for analyzing physical characteristics. This paper proposes an efficient method to obtain wideband CMs by solving the generalized eigenvalue problems (GEPs). In this method, the wideband Sherman-Morrison-Woodbury algorithm (WSMWA) is embedded into implicitly restarted Arnoldi method (IRAM). Numerical results show that the proposed method can save much CPU time.

State Key Laboratory of Millimeter Waves, Southeast University (CN), Nanjing University of Aeronautics and Astronautics (CN)
Ministry of Education, National Natural Science Foundation of China, Nanjing University of Aeronautics and Astronautics, Southeast University, State Key Laboratory of Millimeter Waves, Nature
Openalex Percentile: Top 85%
Advanced Fiber Optic Sensors
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