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Neurospectral modeling of rectangular patch with rectangular aperture in the ground plane

Published online by Cambridge University Press:  24 July 2014

Lotfi Djouane ,
Sami Bedra ,
Randa Bedra Open the ORCID record for Randa Bedra [Opens in a new window]  and
Tarek Fortaki
Lotfi Djouane
Affiliation:
Electronics Department, University of M'sila, 28000 M'sila, Algeria
Sami Bedra*
Affiliation:
Electronics Department, University of Batna, 05000 Batna, Algeria
Randa Bedra
Affiliation:
Electronics Department, University of Batna, 05000 Batna, Algeria
Tarek Fortaki
Affiliation:
Electronics Department, University of Batna, 05000 Batna, Algeria
*
Corresponding author: S. Bedra Email: [email protected]
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Abstract

In this study, we propose an artificial neural network in conjunction with spectral domain approach (SDA), for fast and accurate determination of the resonant frequency and half-power bandwidth of rectangular patch over the ground plane with rectangular aperture. The performances evaluation of the neurospectral method reveals superiority over the conventional SDA model in terms of errors and time. The results obtained from the neurospectral method are in very good agreement with the experimental and theoretical results available in the literature. Finally, numerical results for the effect of rectangular aperture dimensions on the resonant characteristics of the rectangular patch are also investigated.

Keywords

Microstrip antennaArtificial neural networkDesign and modelingSpectral domain
Type
Research Paper
Information
International Journal of Microwave and Wireless Technologies , Volume 7 , Issue 6 , December 2015 , pp. 759 - 768
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2014 

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References

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