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

Robustillo Bayón, Pedro and Zapata Ferrer, Juan and Encinar Garcinuño, José Antonio and Florencio, Rafael and Rodríguez Boix, Rafael and Mosig, Juan (2014). Accurate characterization of multi-resonant reflectarray cells by artificial neural networks. In: "8th European Conference on Antennas and Propagation (EuCAP 2014)", 06/04/2014 - 11/04/2014, The Hague, Holland. pp. 1935-1937. https://doi.org/10.1109/EuCAP.2014.6902180.

Description

Title: Accurate characterization of multi-resonant reflectarray cells by artificial neural networks
Author/s:
  • Robustillo Bayón, Pedro
  • Zapata Ferrer, Juan
  • Encinar Garcinuño, José Antonio
  • Florencio, Rafael
  • Rodríguez Boix, Rafael
  • Mosig, Juan
Item Type: Presentation at Congress or Conference (Article)
Event Title: 8th European Conference on Antennas and Propagation (EuCAP 2014)
Event Dates: 06/04/2014 - 11/04/2014
Event Location: The Hague, Holland
Title of Book: 8th European Conference on Antennas and Propagation (EuCAP 2014)
Date: 2014
Subjects:
Freetext Keywords: Reflectarray, artificial neural networks
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 36599
DC Identifier: http://oa.upm.es/36599/
OAI Identifier: oai:oa.upm.es:36599
DOI: 10.1109/EuCAP.2014.6902180
Deposited by: Memoria Investigacion
Deposited on: 20 Jul 2015 18:36
Last Modified: 20 Jul 2015 18:36
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