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Application of the NARX neural network as a digital predistortion technique for linearizing microwave power amplifiers

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dc.contributor.author Reynoso-Hernández, Apolinar
dc.contributor.author Rayas-Sánchez, José E.
dc.contributor.author Aguilar-Lobo, Lina M.
dc.contributor.author Loo-Yau, José R.
dc.contributor.author Ortega-Cisneros, Susana
dc.contributor.author Moreno, Pablo
dc.date.accessioned 2017-05-11T16:12:47Z
dc.date.issued 2015-09
dc.identifier.citation L. M. Aguilar-Lobo, J. R. Loo-Yau, J. E. Rayas-Sánchez, S. Ortega-Cisneros, P. Moreno, and J. A. Reynoso-Hernández, “Application of the NARX neural network as a digital predistortion technique for linearizing microwave power amplifiers,” Microwave and Optical Technology Letters, vol. 57, no. 9, pp. 2137-2142, Sep. 2015. (ISSN: 0895-2477; DOI 10.1002/mop) es
dc.identifier.issn 0895-2477
dc.identifier.other DOI: 10.1002/mop.29281
dc.identifier.uri http://hdl.handle.net/11117/4486
dc.description This work presents a digital predistortion (DPD) scheme to linearize power amplifiers (PAs) using a recurrent neural network called Nonlinear AutoRegressive with eXogenous input model (NARX) neural network (NARXNN). The architecture of the NARXNN is based on a class of discrete-time nonlinear system named NARX. Its topology has embedded memory at the input and output of the neural architecture, which allows an efficient linearization of PAs. To show the benefits of the DPD with NARXNN, a commercial PA is fed with a long term evolution signal at 2.0 GHz with 10 MHz of bandwidth. Our experimental results show an adjacent channel leakage ratio improvement of 24 dB. es
dc.description.sponsorship ITESO, A.C. es
dc.description.sponsorship Cinvestav Guadalajara es
dc.description.sponsorship CICESE
dc.language.iso eng es
dc.publisher Microwave and Optical Technology Letters es
dc.relation.ispartofseries Microwave and Optical Technology Letters;
dc.rights.uri http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf es
dc.subject Power Amplifier es
dc.subject Linearization es
dc.subject Long-Term Memory Effects es
dc.subject Recurrent Neural Nerwork es
dc.subject NARX es
dc.subject Digital Predistorsion es
dc.title Application of the NARX neural network as a digital predistortion technique for linearizing microwave power amplifiers es
dc.type info:eu-repo/semantics/article es
rei.revisor Microwave and Optical Technology Letters
rei.peerreviewed Yes es
rei.embargo.terms siempre es
rei.embargo.lift 10000-01-01


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