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FSS Design System Using Genetic Algorithm and Characteristic Data Base  

Lee Ji-Hong (Chungnam National University)
Lee Fill-Youb (Chungnam National University)
Seo Il-Song (Agency for Defense Development)
Kim Geun-Hong (Agency for Defense Development)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TC / v.43, no.4, 2006 , pp. 58-66 More about this Journal
Abstract
This paper proposes an FSS(Frequency Selective Surface) design system that automatically derives design parameters minimally specified by engineers. The proposed system derives optimal design parameters through theory of electromagnetic scattering on FSS, database implemented from real data obtained from practically manufactured FSS, and GA(Genetic Algorithm) for optimizing design parameters. The system, at the first step, searches the best matching FSS within preconstructed DB with given characteristics specified by operators, and then sets initial genes from the searched FSS parameters. GA iterates the optimization process until the system finds the FSS design parameters that matches the characteristics specified by operators. The theory for the electromagnetic scattering on FSS is verified by comparing the simulation results with real data obtained by measuring system composed of horn antenna and receiver. The process for manufacturing the FSS is also included in the paper.
Keywords
FSS; Electromagnetic Scattering Analysis; Genetic Algorithm; Data Base;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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