Title :
Design and feed position estimation for circular microstrip antenna based on neural network model
Author :
Vilovic, Ivan ; Burum, Niksa
Author_Institution :
Dept. of Electr. Eng. & Comput., Univ. of Dubrovnik, Dubrovnik, Croatia
Abstract :
In this paper a design and feed position determination for circular microstrip antenna based on neural network models are presented. Multilayer perceptron (MLP) is developed for antenna design. The physical and effective radius, as well as, directivity is obtained by MLP neural network. Radial basis function (RBF) neural network is used for feed position estimation. The obtained results are showed good matching with experimentally obtained results.
Keywords :
antenna feeds; electrical engineering computing; microstrip antennas; multilayer perceptrons; radial basis function networks; MLP; RBF; antenna design; circular microstrip antenna; effective radius; feed position estimation; multilayer perceptron; neural network models; physical radius; radial basis function; Antenna feeds; Biological neural networks; Impedance; Microstrip; Microstrip antennas; Neurons; Training; circular microstrip antenna; effective radius; feed position; input impedance; neural network; phyisical radius;
Conference_Titel :
Antennas and Propagation (EUCAP), 2012 6th European Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0918-0
Electronic_ISBN :
978-1-4577-0919-7
DOI :
10.1109/EuCAP.2012.6206281
