Artificial neural networks for multi-slot microstrip patch antennas

Author

Araujo, W.C. ; D´Assunção, A.G. ; Mendonça, L.M.

Author_Institution

Dept. of Commun. Eng., Fed. Univ. of Rio Grande do Norte, Natal, Brazil

fYear

2011

fDate

12-16 Sept. 2011

Firstpage

532

Lastpage

535

Abstract

This work presents a study of implementation procedures for multi-slot microstrip patch antennas characterization for wireless communication systems. An artificial neural network multilayer perceptron is used to locate the bands of operational frequencies of the antenna for different geometrics configurations. The antenna is designed, simulated and measured in laboratory. The obtained results are compared and a good agreement is observed. The developed neurocomputational procedures can be extended to analyze other antenna geometries for wireless applications.

Keywords

electrical engineering computing; microstrip antennas; multilayer perceptrons; radio networks; antenna geometry; artificial neural network multilayer perceptron; geometrics configuration; multislot microstrip patch antenna characterization; neurocomputational procedures; wireless applications; wireless communication system; Antenna measurements; Artificial neural networks; Microstrip; Microstrip antennas; Slot antennas; Training;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation in Wireless Communications (APWC), 2011 IEEE-APS Topical Conference on

Conference_Location

Torino

Print_ISBN

978-1-4577-0046-0

Type

conf

DOI

10.1109/APWC.2011.6046780

Filename

6046780