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Adaptive digital predistortion based on Feedback–Wiener Model for aeronautical applications

Published online by Cambridge University Press:  16 May 2023

Tayeb H. C. Bouazza Open the ORCID record for Tayeb H. C. Bouazza [Opens in a new window] ,
Smail Bachir ,
Matthieu Pastore  and
Claude Duvanaud
Tayeb H. C. Bouazza*
Affiliation:
XLIM Laboratory, UMR CNRS 7252, University of Poitiers
Smail Bachir
Affiliation:
XLIM Laboratory, UMR CNRS 7252, University of Poitiers
Matthieu Pastore
Affiliation:
TELERAD Society, Anglet, France
Claude Duvanaud
Affiliation:
XLIM Laboratory, UMR CNRS 7252, University of Poitiers
*
Corresponding author: Tayeb H. C. Bouazza, E-mail: tayeb.habib.chawki.bouazza@univ-poitiers.fr
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Abstract

In this work, a new adaptive digital predistorter (DPD) is proposed to linearize radio frequency power amplifiers (PA). The DPD structure is composed of two sub-models. A Feedback–Wiener sub-model, describing the main inverse nonlinearities of the PA, combined with a second sub-model based on a memory polynomial (MP) model. The interest of this structure is that only the MP model is identified in real time to compensate deviations from the initial behavior and thus further improve the linearization. The identification architecture combines offline measurement and online parameter estimation with small number of coefficients in the MP sub-model to track the changes in the PA characteristics. The proposed structure is used to linearize a class AB 75 W PA, designed by Telerad society for aeronautical communications in Ultra High Frequency (UHF) / Very High Frequency (VHF) bands. The obtained results, in terms of identification of optimal DPD and the performances of the digital processing, show a good trade-off between linearization performances and computational complexity.

Keywords

adaptive linearizationdigital predistortionFeedback–Wiener modelparameter estimation
Type
JNM 2022 Special Issue
Information
International Journal of Microwave and Wireless Technologies , Volume 15 , Special Issue 10: JNM 2022 Special Issue , December 2023 , pp. 1635 - 1642
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Copyright
© The Author(s), 2023. Published by Cambridge University Press in association with the European Microwave Association

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