Multi-level spherical wave expansion for fast near-field to far-field transformation

Rodríguez Varela, Fernando 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.

Descripción

Título: Multi-level spherical wave expansion for fast near-field to far-field transformation
Autor/es:
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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Resumen

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.

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Más información

ID de Registro: 55282
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