Electromagnetic Characterization of Materials Based on Genetic Algorithm and Prior Knowledge

Yutao Yang, Haoyun Yuan, Li Wang, Liming Si, Xiue Bao*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a method for extracting the complex permittivity of materials, utilizing genetic algorithm optimization and prior knowledge. S-parameters of the grounded coplanar waveguide with an upper cover containing the material under test are obtained through simulation in CST. Then, the genetic algorithm optimization procedure of a finite element method (FEM) software is utilized to minimize the difference between the simulated S-parameters from CST and FEM. Finally, the possible optimal values of the permittivity are searched iteratively. The approach can be used to extract material parameters across a wide frequency spectrum. To validate the proposed method, experiments were conducted using pure water as the test material.

Original languageEnglish
Title of host publication2024 IEEE MTT-S International Wireless Symposium, IWS 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350389999
DOIs
Publication statusPublished - 2024
Event11th IEEE MTT-S International Wireless Symposium, IWS 2024 - Beijing, China
Duration: 16 May 202419 May 2024

Publication series

Name2024 IEEE MTT-S International Wireless Symposium, IWS 2024 - Proceedings

Conference

Conference11th IEEE MTT-S International Wireless Symposium, IWS 2024
Country/TerritoryChina
CityBeijing
Period16/05/2419/05/24

Keywords

  • Complex permittivity
  • genetic algorithm
  • grounded coplanar waveguide
  • prior knowledge

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