Empirical Doppler Characterization of Signals Scattered by Wind Turbines in the UHF Band under Near Field Condition

Time variability of the scattering signals from wind turbines may lead to degradation problems on the communication systems provided in the UHF band, especially under near field condition. In order to analyze the variability due to the rotation of the blades, this paper characterizes empirical Doppl...

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Autores: Angulo Pita, Itziar, Montalbán Sánchez, Jon, Cañizo Canales, Josune, Wu, Yiyan, De la Vega Moreno, David, Guerra Pereda, David, Angueira Buceta, Pablo, Arrinda Sanzberro, Amaia
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/10177
Acceso en línea:http://hdl.handle.net/10810/10177
Access Level:acceso abierto
Palabra clave:Fourier transform
channel
propagation
ELECTRICAL AND ELECTRONIC ENGINEERING
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spelling Empirical Doppler Characterization of Signals Scattered by Wind Turbines in the UHF Band under Near Field ConditionAngulo Pita, ItziarMontalbán Sánchez, JonCañizo Canales, JosuneWu, YiyanDe la Vega Moreno, DavidGuerra Pereda, DavidAngueira Buceta, PabloArrinda Sanzberro, AmaiaFourier transformchannelpropagationELECTRICAL AND ELECTRONIC ENGINEERINGTime variability of the scattering signals from wind turbines may lead to degradation problems on the communication systems provided in the UHF band, especially under near field condition. In order to analyze the variability due to the rotation of the blades, this paper characterizes empirical Doppler spectra obtained from real samples of signals scattered by wind turbines with rotating blades under near field condition. A new Doppler spectrum model is proposed to fit the spectral characteristics of these signals, providing notable goodness of fit. Finally, the effect of this kind of time variability on the degradation of OFDM signals is studied.The authors would like to thank the partners from Iberdrola Renovables for their continuous support and involvement in the study of the wind turbine effects on the radiocommunication services. Special thanks also to Itelazpi and Abertis Telecom for their kind collaboration in this work. This work has been supported in part by the European Union FP7 (Grant Agreement no. 296164), by the Spanish Ministry of Economy and Competitiveness (projects TEC2012-32370 and TEC2009-14201), and by the Basque Government (GIC 07/110-IT-374-07, SAIOTEK program and program for the training of the researcher staff BFI08.230).Hindawi Publishing Corporation201320132013info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/10177reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/EC/FP7/296164http://www.hindawi.com/journals/ijap/2013/804690/info:eu-repo/semantics/openAccess© 2013 Itziar Angulo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.oai:addi.ehu.eus:10810/101772026-06-18T09:23:17Z
dc.title.none.fl_str_mv Empirical Doppler Characterization of Signals Scattered by Wind Turbines in the UHF Band under Near Field Condition
title Empirical Doppler Characterization of Signals Scattered by Wind Turbines in the UHF Band under Near Field Condition
spellingShingle Empirical Doppler Characterization of Signals Scattered by Wind Turbines in the UHF Band under Near Field Condition
Angulo Pita, Itziar
Fourier transform
channel
propagation
ELECTRICAL AND ELECTRONIC ENGINEERING
title_short Empirical Doppler Characterization of Signals Scattered by Wind Turbines in the UHF Band under Near Field Condition
title_full Empirical Doppler Characterization of Signals Scattered by Wind Turbines in the UHF Band under Near Field Condition
title_fullStr Empirical Doppler Characterization of Signals Scattered by Wind Turbines in the UHF Band under Near Field Condition
title_full_unstemmed Empirical Doppler Characterization of Signals Scattered by Wind Turbines in the UHF Band under Near Field Condition
title_sort Empirical Doppler Characterization of Signals Scattered by Wind Turbines in the UHF Band under Near Field Condition
dc.creator.none.fl_str_mv Angulo Pita, Itziar
Montalbán Sánchez, Jon
Cañizo Canales, Josune
Wu, Yiyan
De la Vega Moreno, David
Guerra Pereda, David
Angueira Buceta, Pablo
Arrinda Sanzberro, Amaia
author Angulo Pita, Itziar
author_facet Angulo Pita, Itziar
Montalbán Sánchez, Jon
Cañizo Canales, Josune
Wu, Yiyan
De la Vega Moreno, David
Guerra Pereda, David
Angueira Buceta, Pablo
Arrinda Sanzberro, Amaia
author_role author
author2 Montalbán Sánchez, Jon
Cañizo Canales, Josune
Wu, Yiyan
De la Vega Moreno, David
Guerra Pereda, David
Angueira Buceta, Pablo
Arrinda Sanzberro, Amaia
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Fourier transform
channel
propagation
ELECTRICAL AND ELECTRONIC ENGINEERING
topic Fourier transform
channel
propagation
ELECTRICAL AND ELECTRONIC ENGINEERING
description Time variability of the scattering signals from wind turbines may lead to degradation problems on the communication systems provided in the UHF band, especially under near field condition. In order to analyze the variability due to the rotation of the blades, this paper characterizes empirical Doppler spectra obtained from real samples of signals scattered by wind turbines with rotating blades under near field condition. A new Doppler spectrum model is proposed to fit the spectral characteristics of these signals, providing notable goodness of fit. Finally, the effect of this kind of time variability on the degradation of OFDM signals is studied.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013
2013
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/10177
url http://hdl.handle.net/10810/10177
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/EC/FP7/296164
http://www.hindawi.com/journals/ijap/2013/804690/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Hindawi Publishing Corporation
publisher.none.fl_str_mv Hindawi Publishing Corporation
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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