Order reduction of wideband digital predistorters using principal component analysis

Other authors

Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions

Universitat Politècnica de Catalunya. CSC - Components and Systems for Communications Research Group

Publication date

2013

Abstract

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)

Document Type

Conference lecture

Language

English

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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Rights

Restricted access - publisher's policy

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E-prints [73026]