Thresholds Optimization of Decomposed Vector Rotation Model for Digital Predistortion of RF Power Amplifier
Loading...
Date
2021-04
Authors
Kantana, Chouaib
Baudoin, Genevieve
Venard, Olivier
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Altmetrics
Abstract
In this paper, we propose an efficient approach for optimizing the decomposed vector rotation (DVR) model for digital predistortion (DPD). The DVR model’s basis functions are constructed piecewise by dividing the input space into segments bounded by thresholds. This paper investigates how to set the thresholds optimally using an iterative approach based on the decomposition of the global optimization problem into a set of unimodal sub-problems so that a unidirectional minimization can be used to optimize the positions of thresholds. The proposed approach has been evaluated using measurements from a real power amplifier (PA). The experimental results illustrate the efficiency of the proposed optimization approach and show that the thresholds’ optimization improves linearization performances significantly compared to conventional DVR with uniform segmentation.
Description
Citation
Radioengineering. 2021 vol. 30, č. 1, s. 250-258. ISSN 1210-2512
https://www.radioeng.cz/fulltexts/2021/21_01_0250_0258.pdf
https://www.radioeng.cz/fulltexts/2021/21_01_0250_0258.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en