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Low-complexity Sub-band DPD with Sequential Learning: Novel Algorithms and WARPLab Implementation

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationIEEE International Workshop on Signal Processing Systems (SiPS), 2016
PublisherIEEE
Pages303-308
Number of pages6
ISBN (Electronic)978-1-5090-3361-4
DOIs
Publication statusPublished - 1 Dec 2016
Publication typeA4 Article in a conference publication
EventIEEE Workshop on Signal Processing Systems -
Duration: 1 Jan 1900 → …

Publication series

Name
ISSN (Electronic)2374-7390

Conference

ConferenceIEEE Workshop on Signal Processing Systems
Period1/01/00 → …

Abstract

Digital predistortion (DPD) is an effective way of mitigating spurious emission violations without the need of a significant backoff in the transmitter, thus providing better power efficiency and network coverage. In this paper an iterative version of the IM3 sub-band DPD, proposed earlier by the authors, is presented. The DPD learning is iterated between the higher and lower IM3 sub-bands until a satisfactory performance is achieved for both of them. A sequential DPD learning procedure is also presented in order to reduce the hardware complexity when higher order nonlinearities are incorporated in the DPD learning. Improvements on the convergence speed of the adaptive DPD learning are also achieved via incorporating a variable learning rate and training from previous values. A WARPLab implementation of the proposed DPD is also shown with excellent suppression of the targeted spurious emissions.

ASJC Scopus subject areas

Keywords

  • Adaptive filters, carrier aggregation, Digital predistortion

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