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    Analysis and Design of Outphasing Transmitter Using Class-E Power Amplifiers With Shunt Capacitances and Shunt Filters


    Afanasyev, Pavel and Grebennikov, Andrei and Farrell, Ronan and Dooley, John (2020) Analysis and Design of Outphasing Transmitter Using Class-E Power Amplifiers With Shunt Capacitances and Shunt Filters. IEEE Access, 8. pp. 208879-208891. ISSN 2169-3536

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    Abstract

    In this paper, a novel outphasing power amplifier (PA) based on class-E amplifiers with shunt capacitances and shunt filters is proposed. The new design provides high drain efficiency for both peak and back-off power levels. A mathematical model for the class-E power amplifier with shunt capacitance and shunt filter is presented. The proposed model enables derivation of load circuit parameters that provide optimum drain efficiency for the peak and back-off power levels using closed form mathematical expressions. Based on this model, an outphasing power amplifier is designed and subsequently implemented using microstrip transmission lines and a GaN HEMT devices. The fabricated power amplifier prototype is optimized for 2.14 GHz and provides drain efficiency of over 60% for back-off power levels up to 8.5 dB. The amplifier demonstrates a 44.3% drain efficiency for 64QAM OFDM modulated signal with 20 MHz bandwidth. Adjacent channel leakage ratio (ACLR) of −39.5 dB and error vector magnitude (EVM) of 0.9 % were achieved after the application of a memory polynomial linearization algorithm.

    Item Type: Article
    Additional Information: Cite as: P. Afanasyev, A. Grebennikov, R. Farrell and J. Dooley, "Analysis and Design of Outphasing Transmitter Using Class-E Power Amplifiers With Shunt Capacitances and Shunt Filters," in IEEE Access, vol. 8, pp. 208879-208891, 2020, doi: 10.1109/ACCESS.2020.3038584.
    Keywords: Class E; GaN HEMT; load modulation; microwave amplifiers; outphasing amplifier;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 15983
    Identification Number: https://doi.org/10.1109/ACCESS.2020.3038584
    Depositing User: Dr. John Dooley
    Date Deposited: 23 May 2022 11:21
    Journal or Publication Title: IEEE Access
    Refereed: Yes
    URI:

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