GA optimized ultra-thin tunable EBG AMC surfaces

M. G. Bray; Z. Bayraktar; D. H. Werner

doi:10.1109/APS.2006.1710545

GA optimized ultra-thin tunable EBG AMC surfaces

M. G. Bray
, Z. Bayraktar
, D. H. Werner

Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

11 Scopus citations

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 language	English (US)
Article number	1710545
Pages (from-to)	410-413
Number of pages	4
Journal	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
DOIs	https://doi.org/10.1109/APS.2006.1710545
State	Published - 2006
Event	IEEE Antennas and Propagation Society International Symposium, APS 2006 - Albuquerque, NM, United States Duration: Jul 9 2006 → Jul 14 2006

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1109/APS.2006.1710545

Cite this

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title = "GA optimized ultra-thin tunable EBG AMC surfaces",

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.",

author = "Bray, \{M. G.\} and Z. Bayraktar and Werner, \{D. H.\}",

note = "Funding Information: Acknowledgement: The research contained in this paper was sponsored by the U.S. Army Research Office under contract number W911NF-05-C-0108. The content of the information in this paper does not necessarily reflect the position or policy of the Government, and no official endorsement should be inferred.; IEEE Antennas and Propagation Society International Symposium, APS 2006 ; Conference date: 09-07-2006 Through 14-07-2006",

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doi = "10.1109/APS.2006.1710545",

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AU - Werner, D. H.

N1 - Funding Information: Acknowledgement: The research contained in this paper was sponsored by the U.S. Army Research Office under contract number W911NF-05-C-0108. The content of the information in this paper does not necessarily reflect the position or policy of the Government, and no official endorsement should be inferred.

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

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DO - 10.1109/APS.2006.1710545

M3 - Conference article

AN - SCOPUS:36148942896

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JO - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)

JF - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)

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T2 - IEEE Antennas and Propagation Society International Symposium, APS 2006

Y2 - 9 July 2006 through 14 July 2006

ER -

GA optimized ultra-thin tunable EBG AMC surfaces

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All Science Journal Classification (ASJC) codes

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