Characteristic Parameters Retrieval of Frequency Selective Surfaces Based on Very Fast Simulated Annealling

This paper presents a retrieval method for the characteristic parameters of unit cells of Frequency Selective Surfaces (FSS) based on Very Fast Simulated Annealing (VFSA). The reflection coefficients is first calculated using Finite Difference Time Domain-based CST electromagnetic simulation software (FDTD-based CST). The characteristic parameters are then reconstructed by iteratively minimizing a cost function that quantifies the difference between numerical simulations and forward model estimations, which are repeatedly updated. Ultimately, the method culminates in the accurate calculation of the characteristic parameters for a FSS unit cell., thereby enhancing the efficiency and precision in the design and analysis of FSS structures.

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Published
2024-12-01
DOI
https://doi.org/10.1109/tencon61640.2024.10902851
Primary Topic
Advanced Antenna and Metasurface Technologies
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article
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article

Characteristic Parameters Retrieval of Frequency Selective Surfaces Based on Very Fast Simulated Annealling

Xiaodong He, Xiao Jia, Yinghong Wen
Advanced Antenna and Metasurface Technologies
article

Characteristic Parameters Retrieval of Frequency Selective Surfaces Based on Very Fast Simulated Annealling

Xiaodong He, Xiao Jia, Yinghong Wen
article en

Abstract

This paper presents a retrieval method for the characteristic parameters of unit cells of Frequency Selective Surfaces (FSS) based on Very Fast Simulated Annealing (VFSA). The reflection coefficients is first calculated using Finite Difference Time Domain-based CST electromagnetic simulation software (FDTD-based CST). The characteristic parameters are then reconstructed by iteratively minimizing a cost function that quantifies the difference between numerical simulations and forward model estimations, which are repeatedly updated. Ultimately, the method culminates in the accurate calculation of the characteristic parameters for a FSS unit cell., thereby enhancing the efficiency and precision in the design and analysis of FSS structures.

Beijing Jiaotong University (CN)
Openalex Percentile: Top 54%
Advanced Antenna and Metasurface Technologies
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Characteristic Parameters Retrieval of Frequency Selective Surfaces Based on Very Fast Simulated Annealling — Xiaodong He, Xiao Jia, et al. · (2024) | TGRS Research Map | TGRS