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GA optimized ultra-thin tunable EBG AMC surfaces

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3 Author(s)
Bray, M.G. ; Antennovation, State College, PA ; Bayraktar, Z. ; Werner, D.H.

This paper investigates a new and novel design approach for creating a tunable electromagnetic bandgap (EBG) surface optimized via a genetic algorithm (GA) for use as an artificial magnetic conductor (AMC). The EBG geometry consists of a frequency selective surface (FSS) on top of a thin dielectric substrate with a PEC backing. The GA is used to evolve the geometry of the FSS and choose the placement of a reactive tunable lumped element. Using this technique a tunable EBG ground plane with a unit cell size smaller than conventional "mushroom" or square patch EBGs can be attained. The GA optimized tunable EBG also has a larger bandwidth and a better ability to suppress upper resonances when compared with conventional tunable EBGs

Published in:

Antennas and Propagation Society International Symposium 2006, IEEE

Date of Conference:

9-14 July 2006