A Measurement-based Multipath Channel Model for Signal Propagation in Presence of Wind Farms in the UHF Band

[EN] Scattering signals on wind turbines may lead to degradation problems on the communication systems provided in the UHF band, such as terrestrial television broadcasting, broadband wireless systems or public safety services. To date, despite the continuous requests from the International Telecomm...

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Detalles Bibliográficos
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:10810/63933
Acceso en línea:http://hdl.handle.net/10810/63933
Access Level:acceso abierto
Palabra clave:channel models
doppler measurements
multipath channel
TSR Channel Model
wind farms
Descripción
Sumario:[EN] Scattering signals on wind turbines may lead to degradation problems on the communication systems provided in the UHF band, such as terrestrial television broadcasting, broadband wireless systems or public safety services. To date, despite the continuous requests from the International Telecommunication Union for studies on this field, no channel model has been developed to characterize signal propagation under these particular conditions. In response to this necessity, this paper presents a complete Tapped Delay Line (TDL) channel model to characterize multipath propagation in presence of a wind farm, including novel scattering modeling and Doppler spectra characterization. As proved later, this channel model, which is based on both theoretical development and empirical data obtained in the surroundings of a real wind farm, is adaptable to the particular features of any case under study: wind turbine dimensions, working frequency, and relative location of the wind farm, transmitter and receivers.