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Reflectarray antenna direct optimization using surrogate models with several geometrical degrees of freedom per polarization

dc.contributor.authorRodriguez Prado, Daniel
dc.contributor.authorLópez Fernández, Jesús Alberto 
dc.contributor.authorArrebola Baena, Manuel 
dc.date.accessioned2022-12-09T10:52:02Z
dc.date.available2022-12-09T10:52:02Z
dc.date.issued2022-07
dc.identifier.urihttp://hdl.handle.net/10651/65721
dc.descriptionIEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2022 (2022. Limoges, France)
dc.description.abstractIn this work, surrogate models based on support vector regression (SVR) of a multi-resonant unit cell with several degrees of freedom (DoF) per polarization are trained and used in a reflectarray antenna design and optimization. Since the unit cell has multiple sharp resonances when considering several DoF, the training process is carried out in a hyper-rectangle around a plane of stability. Results of SVR models with four geometrical DoF are shown to provide highly accurate results for the design and analysis of a very large contoured-beam reflectarray for space applications. The direct optimization layout with the surrogate models allows to improve the cross-polarization figures of merit several dB.spa
dc.description.sponsorshipThis 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.spa
dc.format.extent4 p.spa
dc.language.isoengspa
dc.relation.ispartofIEEE MTT-S International Conference on Electromagnetic and Multiphysics Modeling and Optimization (NEMO)spa
dc.rights© IEEE
dc.subjectreflectarray antenna optimizationspa
dc.subjectsurrogate modelspa
dc.subjectsupport vector regression (SVR)spa
dc.subjectcontoured-beam antennaspa
dc.subjectgeneralized intersection approachspa
dc.titleReflectarray antenna direct optimization using surrogate models with several geometrical degrees of freedom per polarizationspa
dc.typeconference outputspa
dc.identifier.doi10.1109/NEMO51452.2022.10038951
dc.relation.projectIDMICIU/IJC2018-035696-Ispa
dc.relation.projectIDMICINN/PID2020-114172RB-C21spa
dc.relation.projectIDAYUD/2021/51706spa
dc.relation.publisherversionhttp://dx.doi.org/10.1109/NEMO51452.2022.10038951
dc.rights.accessRightsembargoed access
dc.type.hasVersionAM


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