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Modeling and Digital Predistortion of Class-D Outphasing RF Power Amplifiers
University of Gavle, Sweden KTH Royal Institute Technology, Belgium Vrije University of Brussel, Belgium .
Linköping University, Department of Electrical Engineering, Electronic Devices. Linköping University, The Institute of Technology.
University of Gavle, Sweden Vrije University of Brussel, Belgium .
University of Gavle, Sweden .
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2012 (English)In: IEEE transactions on microwave theory and techniques, ISSN 0018-9480, E-ISSN 1557-9670, Vol. 60, no 6, 1907-1915 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a direct model structure for describing class-D outphasing power amplifiers (PAs) and a method for digitally predistorting these amplifiers. The direct model structure is based on modeling differences in gain and delay, nonlinear interactions between the two paths, and differences in the amplifier behavior. The digital predistortion method is designed to operate only on the input signals phases, to correct for both amplitude and phase mismatches. This eliminates the need for additional voltage supplies to compensate for gain mismatch. less thanbrgreater than less thanbrgreater thanModel and predistortion performance are evaluated on a 32-dBm peak-output-power class-D outphasing PA in CMOS with on-chip transformers. The excitation signal is a 5-MHz downlink WCDMA signal with peak-to-average power ratio of 9.5 dB. Using the proposed digital predistorter, the 5-MHz adjacent channel leakage power ratio (ACLR) was improved by 13.5 dB, from -32.1 to -45.6 dBc. The 10-MHz ACLR was improved by 6.4 dB, from -44.3 to -50.7 dBc, making the amplifier pass the 3GPP ACLR requirements.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2012. Vol. 60, no 6, 1907-1915 p.
Keyword [en]
Behavioral modeling, digital predistortion, LINC, outphasing amplifier, power amplifiers (PAs)
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-79098DOI: 10.1109/TMTT.2012.2187532ISI: 000304859000016OAI: diva2:538258
Funding Agencies|Swedish Research Council (VR)||Excellence Center, Linkoping-Lund in Information Technology (ELLIIT)||Research Foundation Flanders (FWO)||Flemish Government (METH1)||LM Ericsson Research Foundation||Ericsson Research||Available from: 2012-06-29 Created: 2012-06-29 Last updated: 2012-06-29

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