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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/54203

Title: Broadband Shaped-Beam Reflectarray Optimization Using Support Vector Machines
Author(s): Rodríguez Prado, Daniel
López Fernández, Jesús Alberto
Arrebola Baena, Manuel
Rodríguez Pino, Marcos
Goussetis, George
Keywords: support vector machine (SVM)
broadband reflectarray antenna
direct broadcast satellite
intersection approach
Issue date: Sep-2019
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.
Description: Simposium Nacional de la Unión Científica Internacional de Radio (URSI) (34º. 2019. Sevilla)
URI: http://hdl.handle.net/10651/54203
Sponsored: 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).
Project id.: MICINN/TEC2017-86619-R
Appears in Collections:Ponencias, Discursos y Conferencias
Ingeniería Eléctrica, Electrónica, de Computadores y Sistemas
Investigaciones y Documentos OpenAIRE

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