A digital predistortion technique based on a NARX network to linearize GaN class F power amplifiers

dc.contributor.authorAguilar-Lobo, Lina M.
dc.contributor.authorRayas-Sánchez, José E.
dc.contributor.authorLoo-Yau, José R.
dc.contributor.authorGarcia-Osorio, Alberto
dc.contributor.authorOrtega-Cisneros, Susana
dc.contributor.authorMoreno, Pablo
dc.contributor.authorReynoso-Hernández, Apolinar
dc.date.accessioned2017-05-11T17:08:41Z
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.description.sponsorshipITESO, A.C.es
dc.description.sponsorshipCINVESTAV Guadalajaraes
dc.description.sponsorshipCICESEes
dc.identifier.citationL. M. Aguilar-Lobo, Reynoso-Hernández, A.; A. Garcia-Osorio, J. R. Loo-Yau, S. Ortega-Cisneros, P. Moreno, J. E. Rayas-Sánchez, “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, pp. 717-720. (ISSN: 1548-3746, P-ISBN: 978-1-4799-4134-6, INSPEC: 14631538, DOI: 10.1109/MWSCAS.2014.6908515).es
dc.identifier.isbn978-1-4799-4134-6
dc.identifier.issn1548-3746
dc.identifier.otherDOI: 10.1109/MWSCAS.2014.6908515
dc.identifier.urihttp://hdl.handle.net/11117/4489
dc.language.isoenges
dc.publisherIEEE International Midwest Symposium on Circuits and Systemses
dc.relation.ispartofseriesIEEE International Midwest Symposium on Circuits and Systems;
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes
dc.subjectDigital Predistortiones
dc.subjectPower Amplifierses
dc.subjectArtificial Neural Networkses
dc.titleA digital predistortion technique based on a NARX network to linearize GaN class F power amplifierses
dc.typeinfo:eu-repo/semantics/conferencePaperes
rei.embargo.lift10000-01-01
rei.embargo.termssiemprees
rei.peerreviewedYeses
rei.revisorIEEE Int. Midwest Symp. Circuits Syst.

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