An Efficient MLFMA for Accurately Analyzing Electromagnetic Radiation and Coupling Characteristics of Large-scale Antenna Arrays Mounted on Platform

Authors

  • Lei Yin Shaanxi Key Laboratory of Large Scale Electromagnetic Computing Xidian University, Xi’an, Shaanxi 710071, China
  • Ning Ding Shaanxi Key Laboratory of Large Scale Electromagnetic Computing Xidian University, Xi’an, Shaanxi 710071, China
  • Peng Hou Shaanxi Key Laboratory of Large Scale Electromagnetic Computing Xidian University, Xi’an, Shaanxi 710071, China
  • Zhongchao Lin Shaanxi Key Laboratory of Large Scale Electromagnetic Computing Xidian University, Xi’an, Shaanxi 710071, China
  • Xunwang Zhao Shaanxi Key Laboratory of Large Scale Electromagnetic Computing Xidian University, Xi’an, Shaanxi 710071, China
  • Shugang Jiang Xi’an CETC-Xidian University Collaborative Innovation Institute of Radar Technology Co. Ltd Xi’an, Shaanxi 710000, China
  • Yongchang Jiao Shaanxi Key Laboratory of Large Scale Electromagnetic Computing Xidian University, Xi’an, Shaanxi 710071, China

DOI:

https://doi.org/10.13052/2024.ACES.J.390309

Keywords:

electromagnetic radiation and coupling, Multilevel fast multipole algorithm (MLFMA), multi-excitation problems, preconditioner, waveport

Abstract

A multilevel fast multipole algorithm (MLFMA) for analyzing electromagnetic radiation and coupling characteristics of large-scale antenna arrays mounted on the platforms is presented in this paper. Compared with the method of moments (MoM), the MLFMA can be used to calculate larger scale problems with limited resources. First, waveport model of the MLFMA based on the equivalence principle and mode matching theory is established to efficiently and accurately simulate the antenna array. Then, a preconditioning approach for solving the radiation problems with the waveports is designed to improve convergence of the MLFMA. An initial guess construction method is proposed to accelerate the MLFMA computation for the multi-excitation problems, which can reduce the iteration time by at least 50%. Numerical results demonstrate accuracy and efficiency of the proposed method.

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Author Biographies

Lei Yin, Shaanxi Key Laboratory of Large Scale Electromagnetic Computing Xidian University, Xi’an, Shaanxi 710071, China

Lei Yin was born in Yinchuan, Ningxia, China, in 1995. He received the B.S. degree in electronic and information engineering from Xidian University, Xi’an, China, in 2017. He is currently pursuing the Ph.D. degree with Xidian University, Xi’an, China. His current research interests include computational electromagnetic, parallel computing, and electromagnetic radiation and coupling.

Ning Ding, Shaanxi Key Laboratory of Large Scale Electromagnetic Computing Xidian University, Xi’an, Shaanxi 710071, China

Ning Ding was born in Shanxi, China, in 1995. He received the B.S. degree in electronic and information engineering from Xidian University, Xi’an, China, in 2017. He is currently pursuing the Ph.D. degree with Xidian University, Xi’an, China. His current research interests include computational electromagnetic.

Peng Hou, Shaanxi Key Laboratory of Large Scale Electromagnetic Computing Xidian University, Xi’an, Shaanxi 710071, China

Peng Hou was born in Shaanxi, China, in 1995. He received the B.S. degree in electronic and information engineering from Xidian University, Xi’an, China, in 2017, where he is currently pursuing the Ph.D. degree. His current research interests include computational electromagnetic, parallel computing, and electromagnetic scattering.

Zhongchao Lin, Shaanxi Key Laboratory of Large Scale Electromagnetic Computing Xidian University, Xi’an, Shaanxi 710071, China

Zhongchao Lin was born in Hebei, China, in 1988. He received the B.S. and Ph.D. degrees from Xidian University, Xi’an, China, in 2011 and 2016, respectively. He joined Xidian University, in 2016, as a post doctoral fellow, where he was lately promoted as an associate professor.

His research interests include large-scale computational electromagnetic, scattering, and radiation electromagnetic analysis.

Xunwang Zhao, Shaanxi Key Laboratory of Large Scale Electromagnetic Computing Xidian University, Xi’an, Shaanxi 710071, China

Xunwang Zhao was born in Shanxi, China, in 1983. He received the B.S. and Ph.D. degrees from Xidian University, Xi’an, China, in 2004 and 2008, respectively. He joined Xidian University, in 2008, as a faculty member, where he was lately promoted as a full professor. He was a visiting scholar with Syracuse University, Syracuse, NY, USA, from December 2008 to April 2009. As a principal investigator, he works on several projects, including the project of NSFC. His research interests include computational electromagnetic and electromagnetic scattering analysis.

Shugang Jiang, Xi’an CETC-Xidian University Collaborative Innovation Institute of Radar Technology Co. Ltd Xi’an, Shaanxi 710000, China

Shugang Jiang was born in Hebei, China, in 1985. He received the B.S. and Ph.D. degrees from Xidian University, Xi’an, China, in 2008 and 2016, respectively. He joined Xidian University, in 2019, as an associate researcher. His research interests include transient electromagnetic analysis.

Yongchang Jiao, Shaanxi Key Laboratory of Large Scale Electromagnetic Computing Xidian University, Xi’an, Shaanxi 710071, China

Yongchang Jiao was born in Shanxi, China, in 1964. He received the Ph.D. degree in electrical engineering from Xidian University, Xi’an, China, in 1990. Since 1990, he has been with the institute of antennas and EM scattering, Xidian University where he is currently a Professor. From March to June 1996, he was a JSPS visiting priority-area research fellow with the University of Tsukuba, Tsukuba, Japan. From March to September 2002 he was a research fellow with the City University of Hong Kong, Hong Kong. His current research interests include antenna designs, computational electromagnetics, and optimization algorithms.

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Published

2024-03-31

How to Cite

[1]
L. Yin, “An Efficient MLFMA for Accurately Analyzing Electromagnetic Radiation and Coupling Characteristics of Large-scale Antenna Arrays Mounted on Platform”, ACES Journal, vol. 39, no. 03, pp. 237–245, Mar. 2024.

Issue

2024: Vol 39 Iss 3

Section

General Submission

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