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Utilice este identificador para citar o enlazar este documento: https://ria.asturias.es/RIA/handle/123456789/11926


Título: Broadband Shaped-Beam Reflectarray Optimization Using Support Vector Machines
Autores: Rodriguez Prado, Daniel
López Fernádez, Jesús Alberto
Arrebola Baena, Manuel
Rodríguez Pino, Marcos
Goussetis, George
Palabras Claves: support vector machine (SVM)
broadband reflectarray antenna
contoured-beam
direct broadcast satellite
intersection approach
Fecha Edición: Sep-2019
Cita Bibliográfica: D. R. Prado, J. A. López-Fernández, M. Arrebola, M. R. Pino, G. Goussetis, "Broadband shaped-beam reflectarray optimization using support vector machines", XXXIV Simposium Nacional de la Unión Científica Internacional de Radio (URSI), Seville (Spain), 04-06/09/2019
Resumen: 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 10 dB at the upper frequency while maintaining a computationally efficient design procedure.
URI: https://ria.asturias.es/RIA/handle/123456789/11926
Aparece en las Colecciones:Ingeniería

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