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

dc.creatorReynoso-Hernández, Apolinar
dc.creatorRayas-Sánchez, José E.
dc.creatorAguilar-Lobo, Lina M.
dc.creatorLoo-Yau, José R.
dc.creatorOrtega-Cisneros, Susana
dc.creatorMoreno, Pablo
dc.date2017-05-11T16:12:47Z
dc.date2015-09
dc.date.accessioned2023-07-21T22:06:33Z
dc.date.available2023-07-21T22:06:33Z
dc.identifierL. 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)
dc.identifier0895-2477
dc.identifierDOI: 10.1002/mop.29281
dc.identifierhttp://hdl.handle.net/11117/4486
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7759602
dc.descriptionThis 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.
dc.descriptionITESO, A.C.
dc.descriptionCinvestav Guadalajara
dc.descriptionCICESE
dc.formatapplication/pdf
dc.languageeng
dc.publisherMicrowave and Optical Technology Letters
dc.relationMicrowave and Optical Technology Letters;
dc.rightshttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf
dc.subjectPower Amplifier
dc.subjectLinearization
dc.subjectLong-Term Memory Effects
dc.subjectRecurrent Neural Nerwork
dc.subjectNARX
dc.subjectDigital Predistorsion
dc.titleApplication of the NARX neural network as a digital predistortion technique for linearizing microwave power amplifiers
dc.typeinfo:eu-repo/semantics/article


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