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    Phase-Only Digital Predistortion Technique for Class-E Outphasing Power Amplifiers

    Afanasyev, Pavel and Ramabadran, Prasidh and Mohammady, Somayeh and Farrell, Ronan and Dooley, John (2019) Phase-Only Digital Predistortion Technique for Class-E Outphasing Power Amplifiers. In: Proceedings of the 1st European Microwave Conference in Central Europe. IEEE, pp. 14-17. ISBN 9782874870675

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    Efficient and linear power amplifiers (PA) are an essential part of forthcoming 5G wireless systems. Outphasing class-E PAs offer high power efficiency and an option for higher efficiency cellular networks. However, they employ signal component separators, which split the signal into two paths. In order to efficiently recombine the signal, nonlinear power combiners are used. This paper proposes a novel phase-only predistortion technique for outphasing class-E PAs. The predistortion coefficients can be extracted based on AMAM characteristics of the output signal and an analytical model of an outphasing Class E PA. The suggested technique has been validated by simulation of an outphasing power amplifier in ADS Ptolemy software. It is shown that applying this technique to a 16QAM OFDM modulated signal with 20 MHz bandwidth improves error vector magnitude (EVM) from 10.39% to 2.43% compared to the signal without predistortion.

    Item Type: Book Section
    Additional Information: Funding: This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund under Grant Number 13/RC/2077. Cite as: P. Afanasyev, P. Ramabadran, S. Mohammady, R. Farrell and J. Dooley, "Phase-Only Digital Predistortion Technique for Class-E Outphasing Power Amplifiers," 2019 European Microwave Conference in Central Europe (EuMCE), Prague, Czech Republic, 2019, pp. 14-17.
    Keywords: outphasing amplifier; class-E; power amplifiers; nonlinearity; predistortion;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14230
    Depositing User: Ronan Farrell
    Date Deposited: 22 Mar 2021 16:56
    Publisher: IEEE
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI), European Regional Development Fund
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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