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dc.contributor.authorValenzuela González, José Luis
dc.contributor.authorCasadevall Palacio, Fernando José
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-02-15T14:14:27Z
dc.date.available2017-02-15T14:14:27Z
dc.date.issued1997
dc.identifier.citationValenzuela, J., Casadevall, F. Performance of adaptive bayesian equalizers in outdoor environments. A: IEEE Vehicular Technology Conference. "VTC 1997: 47th Vehicular Technology Conference: Phoenix, Arizona, USA: May 4-7, 1997". Phoenix: IEEE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, INC., 1997, p. 2143-2147.
dc.identifier.isbn0-7803-3659-3
dc.identifier.urihttp://hdl.handle.net/2117/101088
dc.description.abstractOutdoor communications are affected by multipath propagation that imposes an upper limit on the system data rate and restricts possible applications. In order to overcome the degrading effect introduced by the channel, conventional equalizers implemented with digital filters have been traditionally used. A new approach based on neural networks is considered. In particular, the behavior of the adaptive Bayesian equalizer implemented by means of radial basis functions applied to the channel equalization of radio outdoor environments has been analyzed. The method used to train the equalizer coefficients is based on a channel response estimation. We compare the results obtained with three channel estimation methods: the least sum of square errors (LSSE) channel estimation algorithm, recursive least square (RLS) algorithm employed only to obtain one channel estimation and, finally, the RLS algorithm used to estimate the channel every decided symbol for the whole frame.
dc.format.extent5 p.
dc.language.isoeng
dc.publisherIEEE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, INC.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshTelecommunication
dc.subject.otherTelecommunication computing
dc.subject.otherAdaptive equalisers
dc.subject.otherDecision feedback equalisers
dc.subject.otherBayes methods
dc.subject.otherLand mobile radio
dc.subject.otherData communication
dc.subject.otherDigital radio
dc.subject.otherMultipath channels
dc.subject.otherFeedforward neural nets
dc.subject.otherParameter estimation
dc.subject.otherLeast squares approximations
dc.subject.otherRecursive estimation
dc.subject.otherMaximum likelihood estimation
dc.titlePerformance of adaptive bayesian equalizers in outdoor environments
dc.typeConference report
dc.subject.lemacTelecomunicació
dc.contributor.groupUniversitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils
dc.identifier.doi10.1109/VETEC.1997.605991
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/605991/
dc.rights.accessOpen Access
local.identifier.drac2394859
dc.description.versionPostprint (published version)
local.citation.authorValenzuela, J.; Casadevall, F.
local.citation.contributorIEEE Vehicular Technology Conference
local.citation.pubplacePhoenix
local.citation.publicationNameVTC 1997: 47th Vehicular Technology Conference: Phoenix, Arizona, USA: May 4-7, 1997
local.citation.startingPage2143
local.citation.endingPage2147


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