Title :
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
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;
Conference_Titel :
Antennas and Propagation (EuCAP), 2014 8th European Conference on
Conference_Location :
The Hague
DOI :
10.1109/EuCAP.2014.6902180