Afanasyev, Pavel, Grebennikov, Andrei, 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 |
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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: | 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 |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/15983 |
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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