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ORCID: https://orcid.org/0000-0002-6542-7254, Sierra Castañer, Manuel
ORCID: https://orcid.org/0000-0002-8752-6448 and Galocha Iragüen, Belén
(2018).
Multi-level spherical wave expansion for fast near-field to far-field transformation.
En: "40th Annual Meeting and Symposium of the Antenna Measurement Techniques Association, AMTA 2018", 04/11/2018 - 09/11/2018, Williamsburg, VA, USA. pp. 1-6.
| Título: | Multi-level spherical wave expansion for fast near-field to far-field transformation |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 40th Annual Meeting and Symposium of the Antenna Measurement Techniques Association, AMTA 2018 |
| Fechas del Evento: | 04/11/2018 - 09/11/2018 |
| Lugar del Evento: | Williamsburg, VA, USA |
| Título del Libro: | Proceedings of 40th Annual Meeting and Symposium of the Antenna Measurement Techniques Association, AMTA 2018 |
| Fecha: | 2018 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Señales, Sistemas y Radiocomunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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Traditional near-field to far-field transformation algorithms based on modal expansion are unable to deal with arbitrary measurement surfaces. To approach these problems, a matrix inversion method can be used to retrieve the spherical wave expansion (SWE) of the antenna under test (AUT) fields. Modeling the antenna with a set of multiple SWEs centered at arbitrary points over its surface offers a flexible approach for the solution of field transformation problems over arbitrary surfaces. The coefficients of each SWE are obtained using an iterative inversion approach where the matrix-vector products can be replaced by multilevel operators based on recursive aggregations and interpolations of the partial SWE fields, reducing the computational complexity from ?(?) to ? ? ? . The proposed algorithm is tested using synthetic data and measurements showing good scalability and reduced transformation error.
| ID de Registro: | 55282 |
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| Identificador DC: | https://oa.upm.es/55282/ |
| Identificador OAI: | oai:oa.upm.es:55282 |
| URL Oficial: | https://amta2018.org/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 16 Sep 2019 16:48 |
| Ultima Modificación: | 30 Nov 2022 09:00 |
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