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Recursive learning-based joint digital predistorter for power amplifier and I/Q modulator impairments
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2718-0262
2010 (English)In: International Journal of Microwave and Wireless Technologies, ISSN 1759-0787, Vol. 2, no 2, 173-182 p.Article in journal (Refereed) Published
Abstract [en]

The main implementation impairments degrading the performance of direct-conversion radio transmitters are in-phase/quadrature (I/Q) mismatch, local oscillator (LO) leakage, and power amplifier (PA) nonlinear distortion. In this article, we propose a recursive least-squares-based learning algorithm for joint digital predistortion (PD) of frequency-dependent PA and I/Q modulator impairments. The predistorter is composed of a parallel connection of two parallel Hammerstein (PH) predistorters and an LO leakage compensator, yielding a predistorter which as a whole is fully linear in the parameters. In the parameter estimation stage, proper feedback signal from the transmitter radio frequency (RF) stage back to the digital parts is deployed, combined with the indirect learning architecture and recursive least-squares training. The proposed structure is one of the first techniques to explicitly consider the joint estimation and mitigation of frequency-dependent PA and I/Q modulator impairments. Extensive simulation and measurement analysis is carried out to verify the operation and efficiency of the proposed PD technique. In general, the obtained results demonstrate linearization and I/Q modulator calibration performance clearly exceeding the performance of current state-of-the-art reference techniques.

Place, publisher, year, edition, pages
Cambridge University Press and the European Microwave Association , 2010. Vol. 2, no 2, 173-182 p.
Keyword [en]
Direct-conversion radio, Power amplifier, Spectral regrowth, I/Q imbalance, Mirror-frequency interference, LO leakage
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-43836DOI: 10.1017/S1759078710000280ISI: 000208628700006Scopus ID: 2-s2.0-78651535406OAI: oai:DiVA.org:kth-43836DiVA: diva2:448832
Note

QC 20111026

Available from: 2011-10-26 Created: 2011-10-18 Last updated: 2013-12-19Bibliographically approved

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CiteExportLink to record
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