ReI

Repositorio Institucional del ITESO

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

Manakin: DSpace XMLUI Project v2

Mostrar el registro sencillo del ítem

dc.contributor.author Aguilar-Lobo, Lina M.
dc.contributor.author Rayas-Sánchez, José E.
dc.contributor.author Loo-Yau, José R.
dc.contributor.author Garcia-Osorio, Alberto
dc.contributor.author Ortega-Cisneros, Susana
dc.contributor.author Moreno, Pablo
dc.contributor.author Reynoso-Hernández, Apolinar
dc.date.accessioned 2017-05-11T17:08:41Z
dc.date.issued 2014-08
dc.identifier.citation L. 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.isbn 978-1-4799-4134-6
dc.identifier.issn 1548-3746
dc.identifier.other DOI: 10.1109/MWSCAS.2014.6908515
dc.identifier.uri http://hdl.handle.net/11117/4489
dc.description This 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.sponsorship ITESO, A.C. es
dc.description.sponsorship CINVESTAV Guadalajara es
dc.description.sponsorship CICESE es
dc.language.iso eng es
dc.publisher IEEE International Midwest Symposium on Circuits and Systems es
dc.relation.ispartofseries IEEE International Midwest Symposium on Circuits and Systems;
dc.rights.uri http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf es
dc.subject Digital Predistortion es
dc.subject Power Amplifiers es
dc.subject Artificial Neural Networks es
dc.title A digital predistortion technique based on a NARX network to linearize GaN class F power amplifiers es
dc.type info:eu-repo/semantics/conferencePaper es
rei.revisor IEEE Int. Midwest Symp. Circuits Syst.
rei.peerreviewed Yes es
rei.embargo.terms siempre es
rei.embargo.lift 10000-01-01


Archivos en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Buscar en todo


Listar

Mi cuenta