Accurate characterization of multi-resonant reflectarray cells by artificial neural networks

Author

Robustillo, P. ; Zapata, J. ; Encinar, J.A. ; Florencio, Rafael ; Boix, Rafael R. ; Mosig, Juan R.

Author_Institution

Lab. of Electromagn. & Acoust. (LEMA), Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland

fYear

2014

fDate

6-11 April 2014

Firstpage

1935

Lastpage

1937

Abstract

This paper describes the accurate characterization of the reflection coefficients of a multilayered reflectarray element by means of artificial neural networks. The procedure has been tested with different RA elements related to actual specifications. Up to 9 parameters were considered and the complete reflection coefficient matrix was accurately obtained, including cross polar reflection coefficients. Results show a good agreement between simulations carried out by the Method of Moments and the ANN model outputs at RA element level, as well as with performances of the complete RA antenna designed.

Keywords

electrical engineering computing; method of moments; neural nets; reflectarray antennas; resonance; ANN model; RA elements; artificial neural networks; cross polar reflection coefficients; method of moments; multiresonant reflectarray cells accurate characterization; reflection coefficient matrix; Antennas; Conferences; Decision support systems; Europe; artificial neural networks; reflectarray;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation (EuCAP), 2014 8th European Conference on

Conference_Location

The Hague

Type

conf

DOI

10.1109/EuCAP.2014.6902180

Filename

6902180