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dc.contributor.authorSantamaría Caballero, Luis Ignacio 
dc.contributor.authorIbáñez Díaz, Jesús María 
dc.contributor.authorLázaro Teja, Marcelino
dc.contributor.authorPantaleón Prieto, Carlos J.
dc.contributor.authorVielva Martínez, Luis Antonio 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2012-03-28T10:53:19Z
dc.date.available2012-03-28T10:53:19Z
dc.date.issued2003
dc.identifier.issn1687-6180
dc.identifier.urihttp://hdl.handle.net/10902/519
dc.description.abstractA comparative study among several nonlinear high-power amplifier (HPA) models using real measurements is carried out. The analysis is focused on specific models for wideband OFDM signals, which are known to be very sensitive to nonlinear distortion. Moreover, unlike conventional techniques, which typically use a single-tone test signal and power measurements, in this study the models are fitted using subsampled time-domain data. The in-band and out-of-band (spectral regrowth) performances of the following models are evaluated and compared: Saleh’s model, envelope polynomial model (EPM), Volterra model, the multilayer perceptron (MLP) model, and the smoothed piecewise-linear (SPWL) model. The study shows that the SPWL model provides the best in-band characterization of the HPA. On the other hand, the Volterra model provides a good trade-off between model complexity (number of parameters) and performance.es_ES
dc.format.extent10 p.es_ES
dc.language.isoenges_ES
dc.publisherHindawi Publishing Corporation-es_ES
dc.publisherSpringerOpenes_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.sourceEURASIP Journal on Applied Signal Processing vol. 2003:12, p. 1219–1228es_ES
dc.subject.otherNon-linear modellinges_ES
dc.subject.otherHigh-power amplifierses_ES
dc.subject.otherOFDM signalses_ES
dc.subject.otherSubsampling techniqueses_ES
dc.titleModeling nonlinear power amplifiers in OFDM systems from subsampled data: a comparative study using real measurementses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1155/S1110865703306067
dc.type.versionpublishedVersiones_ES


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Atribución 3.0 EspañaExcept where otherwise noted, this item's license is described as Atribución 3.0 España