Broadband Shaped-Beam Reflectarray Optimization Using Support Vector Machines

  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 Group of Signal Theory and Communications, Universidad de Oviedo
Proceedings:
XXXIV Simposium Nacional de la Unión Científica Internacional de Radio (URSI)

Year of publication: 2019

Congress: Simposium Nacional de la Unión Científica Internacional de Radio (URSI), (34º. 2019. Sevilla)

Type: Conference paper

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Abstract

In this work, SVMs are employed to accelerate the optimization of a 1-meter contoured-beam reflectarray antenna for direct broadcast satellite application in a 15% bandwidth in dual-linear polarization. A method of moments based on local periodicity is used to obtain samples to train the SVMs for each frequency. The surrogate model is then used for a design at central frequency, that is later used as starting point for a broadband optimization procedure that is accelerated more than an order of magnitude without a significant loss of accuracy. The minimum copolar gain in the coverage zone is improved more than 10dB at the upper frequency while maintaining a 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; by the Gobierno del Principado de Asturias through Programa “Clarín” de Ayudas Postdoctorales / Marie Courie-Cofund under project ACA17-09; by Ministerio de Educación, Cultura y Deporte / Programa de Movilidad “Salvador de Madariaga” (Ref. PRX18/00424).

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