Thresholds Optimization of Decomposed Vector Rotation Model for Digital Predistortion of RF Power Amplifier - Archive ouverte HAL Access content directly
Journal Articles Radioengineering Year : 2021

Thresholds Optimization of Decomposed Vector Rotation Model for Digital Predistortion of RF Power Amplifier

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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.
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Dates and versions

hal-03711113 , version 1 (01-07-2022)

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Chouaib Kantana, Geneviève Baudoin, Olivier Venard. Thresholds Optimization of Decomposed Vector Rotation Model for Digital Predistortion of RF Power Amplifier. Radioengineering, 2021, 30 (1), pp.250 - 258. ⟨10.13164/re.2021.0250⟩. ⟨hal-03711113⟩
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