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Support vector regression-enabled optimization strategy of dual circularly-polarized shaped-beam reflectarray with improved cross-polarization performance
dc.contributor.author | Rodriguez Prado, Daniel | |
dc.contributor.author | Naseri, Parinaz | |
dc.contributor.author | López Fernández, Jesús Alberto | |
dc.contributor.author | Hum, Sean Victor | |
dc.contributor.author | Arrebola Baena, Manuel | |
dc.date.accessioned | 2023-02-13T09:55:56Z | |
dc.date.available | 2023-02-13T09:55:56Z | |
dc.date.issued | 2023-01 | |
dc.identifier.citation | IEEE Transactions on Antennas and Propagation, 71(1), p. 497-507 (2023); doi:10.1109/TAP.2022.3215859 | |
dc.identifier.issn | 0018-926X | |
dc.identifier.uri | http://hdl.handle.net/10651/66329 | |
dc.description.abstract | This work presents the optimization of a dual circular-polarized (CP) shaped-beam reflectarray with improved performance. To that end, the design methodology leverages surrogate models based on support vector regression (SVR) of the electromagnetic response of the constituent unit cell for a direct layout optimization of the antenna. The dual CP capability is achieved using a Linear Polarization (LP) Jerusalem cross integrated with an LP-to-CP polarization converter. A full description of the reflectarray analysis in CP is given. We also provide a missing demonstration in the literature of the fact that the direct coefficients in CP shape the copolar pattern of the corresponding polarization. This is applied to the optimization of a dual CP reflectarray with an isoflux pattern, achieving a reduction of more than 9 dB in the crosspolar pattern. | spa |
dc.description.sponsorship | This work was supported in part by the Ministerio de Ciencia, Innovación y Universidades under project IJC2018-035696-I; by the Ministerio de Ciencia e Innovación and the Agencia Estatal de Investigación within project ENHANCE-5G (PID2020-114172RB-C21 / AEI / 10.13039/501100011033); by Gobierno del Principado de Asturias under project AYUD/2021/51706; and by the Natural Sciences and Engineering Research Council of Canada (NSERC) at the University of Toronto. | spa |
dc.format.extent | p. 497-507 | spa |
dc.language.iso | eng | spa |
dc.publisher | IEEE | spa |
dc.relation.ispartof | IEEE Transactions on Antennas and Propagation, v. 71 (1) | spa |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights | © 2022 IEEE | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Reflectarray antennas | spa |
dc.subject | Dual circular polarization | spa |
dc.subject | Machine learning | spa |
dc.subject | Support vector regression | spa |
dc.subject | Surrogate models | spa |
dc.subject | Shaped-beam antenna | spa |
dc.subject | Crosspolar optimization | spa |
dc.title | Support vector regression-enabled optimization strategy of dual circularly-polarized shaped-beam reflectarray with improved cross-polarization performance | spa |
dc.type | journal article | spa |
dc.identifier.doi | 10.1109/TAP.2022.3215859 | |
dc.relation.projectID | IJC2018-035696-I | spa |
dc.relation.projectID | PID2020-114172RB-C21 / AEI / 10.13039/501100011033 | spa |
dc.relation.projectID | AYUD/2021/51706 | spa |
dc.relation.publisherversion | https://doi.org/10.1109/TAP.2022.3215859 | |
dc.rights.accessRights | open access | |
dc.type.hasVersion | AM |
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