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Multivariate Look-Up Table Based on N-Linear Interpolation for General Reflectarray Design
dc.contributor.author | Rodriguez Prado, Daniel | |
dc.contributor.author | López Fernández, Jesús Alberto | |
dc.contributor.author | Arrebola Baena, Manuel | |
dc.date.accessioned | 2022-11-28T08:37:44Z | |
dc.date.available | 2022-11-28T08:37:44Z | |
dc.date.issued | 2022-09 | |
dc.identifier.uri | http://hdl.handle.net/10651/65636 | |
dc.description | Simposium Nacional de la Unión Científica Internacional de Radio, URSI (37º. 2022. Málaga, Spain) | |
dc.description.abstract | We present a multivariate look-up table (LUT) based on N-linear interpolation for a fast general reflectarray design. In order to achieve an efficient implementation of the LUT, details are provided on its structure and a technique for a fast memory access of the reflection coefficients is described. A general formulation for the N-linear interpolation is given and then it is applied to a general reflectarray design procedure, including the improvement of the cross-polarization figures of merit. In order to benchmark the computational efficiency of the LUT, it is compared with other two tools, a method of moments based on local periodicity and surrogate models based on support vector regression. Results show that the LUT achieves a high computational efficiency while preserving a high degree of accuracy. | 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). | spa |
dc.language.iso | eng | spa |
dc.relation.ispartof | XXXV Simposium Nacional de la Unión Científica Internacional de Radio (URSI) | spa |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Database | spa |
dc.subject | look-up table (LUT) | spa |
dc.subject | N-linear interpolation | spa |
dc.subject | machine learning | spa |
dc.subject | surrogate model | spa |
dc.subject | support vector regression (SVR) | spa |
dc.subject | crosspolar optimization | spa |
dc.subject | reflectarray antenna | spa |
dc.title | Multivariate Look-Up Table Based on N-Linear Interpolation for General Reflectarray Design | spa |
dc.type | conference output | spa |
dc.relation.projectID | IJC2018-035696-I | spa |
dc.relation.projectID | PID2020-114172RB-C21/AEI/10.13039/501100011033 | spa |
dc.rights.accessRights | open access | spa |
dc.type.hasVersion | AM |
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