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Two novel memory polynomial models for modeling of RF power amplifiers
KTH, School of Electrical Engineering (EES), Signal Processing. University of Gävle, Sweden; Chalmers University of Technology, Sweden; Vrije Universiteit Brussel, Belgium .
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2015 (English)In: International journal of microwave and wireless technologies, ISSN 1759-0795, E-ISSN 1759-0787, Vol. 7, no 1, 19-29 p.Article in journal (Refereed) Published
Abstract [en]

Two novel memory polynomial models are derived based on physical knowledge of a general power amplifier (PA). The derivations are given in detail to facilitate derivations of other model structures. The model error in terms of normalized mean square error (NMSE) and adjacent channel error power ratio (ACEPR) of the novel model structures are compared to that of established models based on the number of parameters using data measured on two different amplifiers, one high-power base-station PA and one low-power general purpose amplifier. The novel models show both lower NMSE and ACEPR for any chosen number of parameters compared to the established models. The low model errors make the novel models suitable candidates for both modeling and digital predistortion.

Place, publisher, year, edition, pages
2015. Vol. 7, no 1, 19-29 p.
Keyword [en]
Power amplifiers and linearizers, Wireless systems and signal processing (SDR, MIMO, UWB, etc.)
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URN: urn:nbn:se:kth:diva-161615DOI: 10.1017/S1759078714000397ISI: 000348647500003ScopusID: 2-s2.0-84921539094OAI: diva2:797900

QC 20150325

Available from: 2015-03-25 Created: 2015-03-13 Last updated: 2015-03-25Bibliographically approved

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Landin, Per N.Händel, Peter
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Signal Processing
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