In this paper, 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 losing 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.
Neural network characterization of reflectarray antennas / A. Freni; M. Mussetta; P. Pirinoli. - In: INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION. - ISSN 1687-5877. - ELETTRONICO. - 2012:(2012), pp. 1-10. [10.1155/2012/541354]
Neural network characterization of reflectarray antennas
FRENI, ANGELO;
2012
Abstract
In this paper, 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 losing 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.
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