@inproceedings{fdcaf387f44d4014a77f4e2e88ccf5e4,
title = "Electromagnetic Characterization of Materials Based on Genetic Algorithm and Prior Knowledge",
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.",
keywords = "Complex permittivity, genetic algorithm, grounded coplanar waveguide, prior knowledge",
author = "Yutao Yang and Haoyun Yuan and Li Wang and Liming Si and Xiue Bao",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 11th IEEE MTT-S International Wireless Symposium, IWS 2024 ; Conference date: 16-05-2024 Through 19-05-2024",
year = "2024",
doi = "10.1109/IWS61525.2024.10713610",
language = "English",
series = "2024 IEEE MTT-S International Wireless Symposium, IWS 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 IEEE MTT-S International Wireless Symposium, IWS 2024 - Proceedings",
address = "United States",
}