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Support Vector Machines for Robust Channel Estimation in OFDM

dc.contributor.authorFernández-Getino García, M Julia
dc.contributor.authorRojo-Álvarez, José Luis
dc.contributor.authorAlonso Atienza, Felipe
dc.contributor.authorMartínez Ramón, Manel
dc.date.accessioned2009-02-04T19:03:38Z
dc.date.available2009-02-04T19:03:38Z
dc.date.issued2006-07-01
dc.identifier.issn1070-9908
dc.identifier.urihttp://hdl.handle.net/10115/1912
dc.description.abstractA new support vector machine (SVM) algorithm for coherent robust demodulation in orthogonal frequency-division multiplexing (OFDM) systems is proposed. We present a complex regression SVM formulation specifically adapted to a pilots-based OFDM signal. This novel proposal provides a simpler scheme than an SVM classification method. The feasibility of our approach is substantiated by computer simulation results obtained for IEEE 802.16 broadband fixed wireless channel models. These experiments allow to scrutinize the performance of the OFDM-SVM system and the suitability of the -Huber cost function, in the presence of non-Gaussian impulse noise interfering with OFDM pilot symbols.es
dc.language.isoenes
dc.relation.ispartofseriesIEEE Signal Processing Letterses
dc.relation.ispartofseries13(7)es
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectTelecomunicacioneses
dc.titleSupport Vector Machines for Robust Channel Estimation in OFDMes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subject.unesco3325 Tecnología de las Telecomunicacioneses
dc.description.departamentoTeoría de la Señal y Comunicaciones


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