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IEICE Electronics Express
Online ISSN : 1349-2543
ISSN-L : 1349-2543
LETTER
An enhanced peak limited digital predistortion based on indirect learning architecture
Guojing HuangZhiyu WangJiarui LiuHua ChenFaxin Yu
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JOURNAL FREE ACCESS

2023 Volume 20 Issue 19 Pages 20230358

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Abstract

The peak power of the digital predistortion (DPD) will be uncontrollably expand when the power amplifier (PA) is driven in the oversaturated state. To solve this problem, this letter proposes a peak limited digital predistortion method. By filtering the data used for predistortion coefficient extraction, the peak power of the predistorted signal can be effectively controlled. The memory effect of PA is considered during the data filtering. Less data samples are needed for coefficient extraction, which reduces the computational cost. Simulation verifies the effectiveness of the proposed method, and experimental results show that the adjacent channel leakage ratio (ACLR) can have 12.4dB improvement when the tested PA is operated in an oversaturated state.

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© 2023 by The Institute of Electronics, Information and Communication Engineers
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