Shaped-Beam Reflectarray with a 15% Bandwidth Optimized Using Support Vector Regression
Subject:
Machine learning
Support vector regression (SVR)
Wideban reflectarray antenna
Shaped-beam
Publication date:
Editorial:
IEEE
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.
Description:
IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting (2020. Montreal)
Patrocinado por:
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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