2026-04-17T04:12:05Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/1174102026-02-07T09:27:25Zcom_2072_1033col_2072_452950

Order reduction of wideband digital predistorters using principal component analysis Gilabert Pinal, Pere Lluís Montoro López, Gabriel López Bueno, David Bartzoudis, Nikolaos Bertran Albertí, Eduardo Payaró Llisterri, Miquel Hourtane, Alain Àrees temàtiques de la UPC::Enginyeria de la telecomunicació Amplifiers (Electronics) Digital predistortion Memory effects Order reduction Principal component analysis Amplificadors de banda ampla This paper presents how to apply order reduction in wide-band digital predistortion (DPD) linearizers using the principal component analysis (PCA) technique. This method is tested in a wireless backhauling transmitter where four 28 MHz adjacent subcarrier transmission of M-QAM signals are considered. The DPD has to counteract not only the PA nonlinear behavior, but also its dynamics. This may results critical when considering wideband signals since the number of coefficients required to model memory effects can grow dramatically. By applying the PCA technique, the number of essential parameters can be significantly reduced. In addition, a strategy to minimize the computational cost of finding the optimal coefficients is also presented. A test-bed for evaluating the DPD linearization performance of the RF subsystem when PCA is applied was deployed and experimental results are presented in this paper Peer Reviewed Postprint (published version) 2013 Conference lecture Restricted access - publisher's policy Institute of Electrical and Electronics Engineers (IEEE)