Afanasyev, Pavel, Ramabadran, Prasidh, Mohammady, Somayeh, 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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Abstract
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 |
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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 |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/14230 |
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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