GA optimized ultra-thin tunable EBG AMC surfaces

M. G. Bray, Z. Bayraktar, Douglas Henry Werner

Research output: Contribution to journalConference article

9 Citations (Scopus)

Abstract

This paper will investigate 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.

Original languageEnglish (US)
Article number1710545
Pages (from-to)410-413
Number of pages4
JournalIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
DOIs
StatePublished - Dec 1 2006
EventIEEE Antennas and Propagation Society International Symposium, APS 2006 - Albuquerque, NM, United States
Duration: Jul 9 2006Jul 14 2006

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Energy gap
Genetic algorithms
Frequency selective surfaces
Geometry
Bandwidth
Substrates

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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GA optimized ultra-thin tunable EBG AMC surfaces. / Bray, M. G.; Bayraktar, Z.; Werner, Douglas Henry.

In: IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), 01.12.2006, p. 410-413.

Research output: Contribution to journalConference article

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