A Digital Predistortion Technique Based on a NARX Network to Linearize GaN Class F Power Amplifiers (poster)

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dc.contributor.authorAguilar-Lobo, Lina M.
dc.contributor.authorReynoso-Hernandez
dc.contributor.authorGarcía-Osorio, Alberto
dc.contributor.authorLoo-Yau, José R.
dc.contributor.authorOrtega-Cisneros, Susana
dc.contributor.authorMoreno, Pablo
dc.contributor.authorRayas-Sánchez, José E.
dc.contributor.authorReynoso-Hernández, Apolinar
dc.date.accessioned2019-08-30T20:08:39Z
dc.date.available2019-08-30T20:08:39Z
dc.date.issued2014-08
dc.descriptionThis work presents a novel Digital Predistortion (DPD) scheme based on a NARX network, suitable for linearizing power amplifiers (PAs). The NARX network is a Recurrent Neural Network (RNN) with embedded memory that allows efficient modeling of nonlinear systems. Its neural architecture is very effective to model long term dependencies, such as the typical memory effects of PAs. To demonstrate the feasibility of the NARX network as a DPD system, a GaN class F PA with two LTE signals with 5 MHz of bandwidth is used. Experimental results show a distortion correction better than 10 dB.es
dc.identifier.citationL.M. Aguilar-Lobo, A. Garcia-Osorio, J.R. Loo-Yau, S. Ortega-Cisneros, P. Moreno, J.E. Rayas-Sánchez, and A. Reynoso-Hernández, “A digital predistortion technique based on a NARX network to linearize GaN class F power amplifiers,” in IEEE Int. Midwest Symp. Circuits Syst., College Station, TX, Aug. 2014, poster.es
dc.identifier.isbn978-1-4799-4134-6
dc.identifier.urihttp://hdl.handle.net/11117/6013
dc.language.isoenges
dc.publisherIEEEes
dc.relation.ispartofseriesIEEE International Midwest Symposium on Circuits and Systems;
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdfes
dc.subjectPA Linearizationes
dc.subjectLong-term Memory Effectses
dc.subjectNARX Networkes
dc.subjectRecurrent Neural Networkses
dc.subjectNonlinear Systemses
dc.subjectDigital Predistortiones
dc.titleA Digital Predistortion Technique Based on a NARX Network to Linearize GaN Class F Power Amplifiers (poster)es
dc.typeinfo:eu-repo/semantics/conferencePosteres
rei.peerreviewedYeses
rei.revisorIEEE

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