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A new Block-Structure Modeling Technique for RF Power Amplifiers in a 2x2 MIMO System
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. KTH.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.ORCID iD: 0000-0003-2887-049x
KTH.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
2017 (English)In: 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) / [ed] Milovanovic, B. D.; Doncov, N. S.; Stankovic, Z. Z.; Dimitrijevic, T. Z., IEEE , 2017, p. 224-227Conference paper, Published paper (Refereed)
Abstract [en]

A new block-structure behavioral model is proposed for radio frequency power amplifiers in a 2x2 multiple-input multiple-output system including input cross-talk. The proposed model forms kernels of blocks of different nonlinear order that correspond to the significant frequency response of measured frequency domain Volterra kernels. The model can therefore well describe the input-output relationships of the nonlinear dynamic behavior of PAs. The proposed model outperforms conventional models in terms of model errors.

Place, publisher, year, edition, pages
IEEE , 2017. p. 224-227
Keywords [en]
Nonlinear dynamic RF power amplifier, Volterra kernels, MIMO system, block-structural model
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hig:diva-26235DOI: 10.1109/TELSKS.2017.8246268ISI: 000425463200046Scopus ID: 2-s2.0-85045971319ISBN: 978-1-5386-1800-4 (print)OAI: oai:DiVA.org:hig-26235DiVA, id: diva2:1190819
Conference
13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS), Nis, Serbia, 18-20 October 2017
Available from: 2018-03-15 Created: 2018-03-15 Last updated: 2018-06-04Bibliographically approved

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Alizadeh, MahmoudRönnow, DanielHändel, PeterIsaksson, Magnus

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