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Utilice este identificador para citar o enlazar este documento: https://ria.asturias.es/RIA/handle/123456789/11934


Título: Efficient and Accurate Modeling of Reflectarray Unit Cells Using SVMs
Autores: Rodriguez Prado, Daniel
López Fernádez, Jesús Alberto
Arrebola Baena, Manuel
Las-Heras Andrés, Fernando
Palabras Claves: support vector machine (SVM)
surrogate model
unit cell
reflection coefficient
reflectarray
Fecha Edición: Abr-2018
Editor: IEEE
Cita Bibliográfica: D. R. Prado, J. A. López-Fernández, M. Arrebola, F. Las-Heras, "Efficient and Accurate Modeling of Reflectarray Unit Cells Using SVMs", IEEE International Symposium on Antennas and Propagation, Boston, Massachusetts (USA), 8-13/07/2018
Resumen: This paper presents a technique for an efficient and accurate characterization of dual-polarized reflectarray unit cells by means of Support Vector Machines (SVMs) to accelerate the analysis and optimization of this type of antenna. The goal is to accurately obtain the matrix of complex reflection coefficients using geometrical data of the unit cell. To this end, SVMs are employed to obtain surrogate models of those coefficients in an efficient fashion by employing a novel grid search which accelerates by three orders of magnitude the training process with regard to an exhaustive grid search. In addition, the precision of the surrogate model is tested against full-wave simulations assuming local periodicity obtaining a high degree of agreement.
URI: https://ria.asturias.es/RIA/handle/123456789/11934
ISBN: 978-1-5386-7102-3
978-1-5386-7101-6
978-1-5386-7103-0
ISSN: 1947-1491
1522-3965
Aparece en las Colecciones:Ingeniería

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