Shaped-Beam Reflectarray with a 15% Bandwidth Optimized Using Support Vector Regression

  1. Rodríguez Prado, Daniel 1
  2. López Fernández, Jesús Alberto 1
  3. Arrebola Baena, Manuel 1
  4. Rodríguez Pino, Marcos 1
  5. Goussetis, George
  1. 1 Signal Theory and Communications, Universidad de Oviedo
Proceedings:
2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

Publisher: IEEE

Year of publication: 2020

Congress: IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting (2020. Montreal)

Type: Conference paper

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Abstract

Support Vector Regression (SVR) is employed in a wideband, copolar reflectarray optimization to achieve a 15% bandwidth. The reflectarray is square and 1 meter wide. A European coverage with a minimum gain requirement of 28 dBi has been chosen. After the optimization, the minimum copolar gain in the coverage zone is improved more than 10 dB at the upper frequency while maintaining an accurate and computationally efficient design procedure

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Funding information

This work was supported in part by the Ministerio de Ciencia, Innovación y Universidades under project TEC2017-86619-R (ARTEINE); by the Ministerio de Economía, Industria y Competitividad under project TEC2016-75103-C2-1-R (MYRADA); by the Gobierno del Principado de Asturias/FEDER under Project GRUPIN-IDI/2018/000191.

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