Title :
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
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;
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
DOI :
10.1109/APWC.2011.6046780
