DocumentCode :
494220
Title :
Mean effective gain enhancement of antenna systems with EBG ground plane
Author :
Ganatsos, Theodoros ; Siakavara, Katherine ; Sahalos, J.N.
Author_Institution :
Dept. of Phys., Radiocommun. Lab., Thessaloniki
fYear :
2009
fDate :
23-27 March 2009
Firstpage :
3567
Lastpage :
3571
Abstract :
A low profile antenna with a single dipole in front of an electromagnetic band-gap (EBG) reflecting surface, with effective polarization diversity performance is presented. The EBG is designed to reflect at the same frequency the x- and y- polarized waves with +90deg and -90deg phase shift respectively, via an artificial neural network (ANN) method. A parametric study of the mean effective gain (MEG) with respect to the characteristics of the incident waves and for various angular probability distributions of incidence was made. The target was to obtain a MEG greater than that of a radiating system with a perfect electric conducting (PEC) surface and to find out the proper geometry that would make the dipole-EBG configuration less sensitive to the continuous variation of the cross polarization power ratio of the signals, incoming from a mobile communication environment.
Keywords :
dipole antennas; electrical engineering computing; electromagnetic wave polarisation; geometry; neural nets; phase shifters; photonic band gap; probability; EBG ground plane; angular probability distributions; antenna systems; artificial neural network; cross polarization power ratio; dipole-EBG configuration; electromagnetic band-gap; gain enhancement; mean effective gain; mobile communication environment; perfect electric conducting; polarization diversity performance; Artificial neural networks; Conductors; Dipole antennas; Electromagnetic wave polarization; Frequency; Lattices; Metamaterials; Periodic structures; Probability distribution; Surface waves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation, 2009. EuCAP 2009. 3rd European Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4244-4753-4
Electronic_ISBN :
978-3-00-024573-2
Type :
conf
Filename :
5068364
Link To Document :
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