An Efficient Preconditioner (LESP) for Hybrid Matrices Arising in RF MEMS Switch Analysis

Authors

  • Zhongde Wang Anosft Corp., San Jose, California
  • John L. Volakis ElectroScience Lab, Electrical and Computer Engineering Dept., The Ohio State University
  • Katsuo Kurabayashi Mechanical Engineering Dept., University of Michigan
  • Kazuhiro Saitou Mechanical Engineering Dept., University of Michigan

Keywords:

An Efficient Preconditioner (LESP) for Hybrid Matrices Arising in RF MEMS Switch Analysis

Abstract

The small dimensions of Radio Frequency Micro-ElectroMechanical Switches (RF MEMS) raise significant modeling challenges in terms of accuracy and solver efficiency. This paper introduces a practical RF MEMS switch analysis based on an extended finite element-boundary integral (EFE-BI) method with an iterative solver incorporating a new sparse-matrix preconditioner whose large eigenvalues are very close to those of the original matrix. This sparse preconditioner is key to successfully solving the ill-conditioned EFE-BI matrix. The smaller condition number and almost positive-definite eigenvalue spectrum after preconditioning leads to fast convergence. Specific RF MEMS simulations are presented to demonstrate the accuracy and effectiveness of the methodology and solution process.

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Published

2022-06-18

How to Cite

[1]
Z. . Wang, J. L. . Volakis, K. . Kurabayashi, and K. . Saitou, “An Efficient Preconditioner (LESP) for Hybrid Matrices Arising in RF MEMS Switch Analysis”, ACES Journal, vol. 22, no. 3, pp. 327–332, Jun. 2022.

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