Support Vector Machines for Coherent OFDM Demodulation

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Show simple item record Fernández-Getino García, María Julia Rojo-Álvarez, José Luis Alonso-Atienza, Felipe Martínez-Ramón, Manel 2011-06-29T10:51:01Z 2011-06-29T10:51:01Z 2006-07
dc.identifier.bibliographicCitation M. J. Fernández-Getino-García, J. L. Rojo-Álvarez, F. Alonso-Atienza, M. Martínez-Ramón, "Support vector machines for robust channel estimation in OFDM", IEEE Signal Processing Letters, Vol. 13, No 7, pp. 397 - 400, July 2006
dc.identifier.issn 1070-9908
dc.description.abstract A 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 epsiv-Huber cost function, in the presence of non-Gaussian impulse noise interfering with OFDM pilot symbols
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights © IEEE
dc.subject.other Channel estimation
dc.subject.other Orthogonal frequency-division multiplexing (OFDM)
dc.subject.other Support vector machines
dc.title Support Vector Machines for Coherent OFDM Demodulation
dc.type article
dc.description.status Publicado
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi 10.1109/LSP.2006.871862
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 397
dc.identifier.publicationissue 7
dc.identifier.publicationlastpage 400
dc.identifier.publicationtitle IEEE Signal processing letters
dc.identifier.publicationvolume 13
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