Neural network - Based design of EBG surfaces for effective polarization diversity of wireless communications antenna systems

T. Ganatsos, K. Siakavara, J. N. Sahalos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the present work a Neural Network (NN) procedure for the design of Electromagnetic Band-Gap (EBG) structures with attributes useful to diversity antenna systems is proposed. EGB lattices which have the property to reflect, at the same frequency, x- and y-polarized waves via a 180 degrees phase difference are designed. The employment of EBG structures as reflection surfaces in dipole antenna systems yields results that prove the capability of the system to transmit or receive effectively, circularly polarized waves even if a single linear dipole is used.

Original languageEnglish
Title of host publicationProgress in Electromagnetics Research Symposium 2007, PIERS 2007 Prague
PublisherElectromagnetics Academy
Pages415-419
Number of pages5
ISBN (Print)9781618390523
Publication statusPublished - 2007
EventProgress in Electromagnetics Research Symposium 2007, PIERS 2007 Prague - Prague, Czech Republic
Duration: 27 Aug 200730 Aug 2007

Other

OtherProgress in Electromagnetics Research Symposium 2007, PIERS 2007 Prague
Country/TerritoryCzech Republic
CityPrague
Period27/08/0730/08/07

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