Effective Modeling of Frequency Selective Surfaces by Equivalent Dielectric Substrates Using Genetic Algorithm for Electromagnetic Scattering Analysis
Journal
Proceedings of the 2020 IEEE International Conference on Computational Electromagnetics, ICCEM 2020
Pages
103-104
Date Issued
2020
Author(s)
Abstract
This paper presents a methodology to model electromagnetic (EM) frequency selective surfaces (FSS) in terms of equivalent dielectric materials, which can be used to perform fast EM scattering analysis when the FSS is integrated with other antennas. This modeling provides an efficient way to simulate large FSS, where full-wave analysis is required. In the approximation, the transmission and reflection coefficients of the FSS element under an infinite array assumption are first calculated by commercial tools, and afterward genetic algorithm (GA) is applied to resemble the FSS by a dielectric substrate with proper permittivity, permeability and loss tangent. Thus, the equivalent dielectric surface can replace the original FSS in order to evaluate the performance of the antenna structure such as the radar cross-section (RCS). © 2020 IEEE.
Subjects
Electromagnetic modeling; Frequency selective surface; Genetic algorithm; Radar cross-section
SDGs
Other Subjects
Approximation algorithms; Computational electromagnetics; Electromagnetic wave scattering; Frequency selective surfaces; Genetic algorithms; Radar cross section; Substrates; Surface scattering; Antenna structures; Commercial tools; Dielectric substrates; Dielectric surface; Electromagnetic scattering; Frequency selective surface (FSS); Full wave analysis; Transmission and reflection coefficient; Dielectric materials
Type
conference paper