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


Autoria(s): Robustillo Bayón, Pedro; Zapata Ferrer, Juan; Encinar Garcinuño, José Antonio; Florencio, Rafael; Rodríguez Boix, Rafael; Mosig, Juan
Data(s)

2014

Resumo

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.

Formato

application/pdf

Identificador

http://oa.upm.es/36599/

Idioma(s)

eng

Publicador

E.T.S.I. Telecomunicación (UPM)

Relação

http://oa.upm.es/36599/1/INVE_MEM_2014_194399.pdf

http://dx.doi.org/10.1109/EuCAP.2014.6902180

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

8th European Conference on Antennas and Propagation (EuCAP 2014) | 8th European Conference on Antennas and Propagation (EuCAP 2014) | 06/04/2014 - 11/04/2014 | The Hague, Holland

Palavras-Chave #Telecomunicaciones
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

PeerReviewed