Ir a la página de inicio del Gobierno del Principado de Asturias

Datos del Documento

Utilice este identificador para citar o enlazar este documento: https://ria.asturias.es/RIA/handle/123456789/11929


Título: Improved Cross-Polarization Performance in Reflectarray Antennas by Direct Optimization of the XPD and XPI Parameters
Autores: Rodriguez Prado, Daniel
Arrebola Baena, Manuel
Rodríguez Pino, Marcos
Goussetis, George
Palabras Claves: reflectarray
satellite mission
crosspolar discrimination (XPD)
crosspolar isolation (XPI)
shaped beam
direct broadcast satellite
Fecha Edición: Sep-2019
Cita Bibliográfica: D. R. Prado, M. Arrebola, M. R. Pino, G. Goussetis, "Improved cross-polarization performance in reflectarray antennas by direct optimization of the XPD and XPI parameters", XXXIV Simposium Nacional de la Unión Científica Internacional de Radio (URSI), Seville (Spain), 04-06/09/2019
Resumen: Current satellite missions for communications demand a high polarization purity, with figures of merit such as the crosspolar discrimination (XPD) better than 33 dB. In order to accomplish these values, some kind of optimization must be carried out to improve cross-polarization performance. The most common approach is to minimize the crosspolar component of the radiation pattern in the region of interest. Nevertheless, this strategy produces suboptimal results since the figure of merit for cross-polarization performance is optimized indirectly. Thus, it is proposed to directly optimize the XPD to improve the polarization purity of reflectarrays for satellite missions. For that purpose, the generalized Intersection Approach algorithm is employed to optimize a very large shaped-beam reflectarray for a direct broadcast satellite application with a European coverage. It is shown that directly optimizing the cross-polarization figure of merit provides better results than the usual approach of minimizing the crosspolar pattern.
URI: https://ria.asturias.es/RIA/handle/123456789/11929
Aparece en las Colecciones:Ingeniería

Archivos en este documento:



Archivo TamañoFormato
09_URSI2019 - XPD XPI Opt - DRP_v1.pdf705,37 kBAdobe PDFVer/Abrir



logo

Todos los documentos en RIA están protegidos por derechos de autor.


Valid XHTML 1.0! DSpace Software Copyright © 2002-2007 MIT and Hewlett-Packard - Contacto