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Determining a Pruned 2-D Digital Predistortion Model Structure for Power Amplifiers Linearization

Abstract : Two-dimensional digital predistortion (2-D DPD) is one of the most commonly used approach to linearize the concurrent dual-band radio frequency (RF) power amplifiers (PA). In this paper, we propose to determine an optimal structure of a dual-band DPD model using an optimization-heuristic-based method. A new form for 2-D DPD is proposed for lower complexity. We propose a search criterion based on generalized information criterion which represents the trade-off between the DPD linearization performance in two bands and its model complexity. A comparison against a compressed-sensing-based method is also made. The effectiveness of the proposed method is validated with two 20 MHz long-term-evolution (LTE) signals on two carriers with 100 MHz frequency separation.
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https://hal-centralesupelec.archives-ouvertes.fr/hal-02054960
Contributor : Morgan Roger <>
Submitted on : Saturday, March 2, 2019 - 6:28:58 PM
Last modification on : Wednesday, September 16, 2020 - 5:51:33 PM
Long-term archiving on: : Friday, May 31, 2019 - 1:13:25 PM

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  • HAL Id : hal-02054960, version 1

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Siqi Wang, Morgan Roger, Caroline Lelandais-Perrault. Determining a Pruned 2-D Digital Predistortion Model Structure for Power Amplifiers Linearization. 2019. ⟨hal-02054960v1⟩

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