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Study on complexity reduction of digital predistortion for power amplifier linearization

Abstract : This dissertation contributes to the linearization techniques of high power amplifier using digital predistortion method. High power amplifier is one of the most nonlinear components in radio transmitters. Unfortunately, for most current types of power amplifiers, a good efficiency is obtained at the price of a poor linearity especially with modern communication waveforms. Baseband adaptive digital predistortion is a powerful technique to linearize the power amplifiers and allows to push the power amplifier operation point towards its high efficiency region. Linearization of power amplifiers using digital predistortion with low complexities is the focus of this dissertation. An algorithm is proposed to determine an optimal model structure of single-stage or multi-stage predistorter according to a trade-off between modeling accuracy and model complexity. Multi-stage cascaded digital predistortions are studied with different identification methods, which have advantages on complexity of model identification compared with single-stage structure. The linearization performances are validated by experimental implementations on test bench. In terms of experimental implementations, this dissertation studies the impact of different gain choices on linearized power amplifier. All studies are evaluated with a Doherty power amplifier
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Submitted on : Tuesday, September 18, 2018 - 4:22:07 PM
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  • HAL Id : tel-01876701, version 1

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Siqi Wang. Study on complexity reduction of digital predistortion for power amplifier linearization. Electronics. Université Paris-Est, 2018. English. ⟨NNT : 2018PESC1011⟩. ⟨tel-01876701⟩

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