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International Journal of Antennas and Propagation
Volume 2012, Article ID 541354, 10 pages
Research Article

Neural Network Characterization of Reflectarray Antennas

1Dipartimento di Elettronica e Telecomunicazioni, Università degli Studi di Firenze, 50121 Florence, Italy
2Dipartimento di Energia, Politecnico di Milano, 20156 Milan, Italy
3Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, 10129 Turin, Italy

Received 3 March 2012; Accepted 11 May 2012

Academic Editor: Sandra Costanzo

Copyright © 2012 Angelo Freni et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


An efficient artificial neural network (ANN) approach for the modeling of reflectarray elementary components is introduced to improve the numerical efficiency of the different phases of the antenna design and optimization procedure, without loss in accuracy. The comparison between the results of the analysis of the entire reflectarray designed using the simplified ANN model or adopting a full-wave characterization of the unit cell finally proves the effectiveness of the proposed model.