TY - JOUR
T1 - Distortion-characteristic estimation predistorter for high efficiency power amplifiers
AU - Ren, Zhiyuan
AU - Chen, Hsiao Hwa
AU - Chen, Wei Zen
N1 - Funding Information:
This work was supported in part by National Natural Science Foundation of China (grant nos. 61401331 and 61401328), 111 Project in Xidian University of China (B08038), Hong Kong, Macao and Taiwan Science and Technology Cooperation Special Project (grant nos. 2014DFT10320 and 2015DFT10160) and National Higher-education Institution General Research and Development Project (grant no. 7215573901)
Publisher Copyright:
© The Institution of Engineering and Technology.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - Power amplifier (PA) is one of important components in wireless communication system. However, its non-linear and memory characteristic cause harmful distortion, which significantly decreases the power efficiency and wastes electronic energy since the power of PA needs back off. To overcome the non-linear and memory problems, a novel method based on distortion-characteristic estimation algorithm is developed in this study. The main innovation of this study is manifested in two aspects: first, the authors use well designed training signals to estimate the distortion characteristic of the PA; second, a novel PA characteristic estimation algorithm is developed in order to calculate the optimal state of the ideal predistorter that behaves like the inverse characteristic of PA theoretically. Since this novel method does not require the error between original signals and feedback signals, it can avoid the significant errors caused by the time mismatch between source signals and feedback signals, and can increase the power efficiency of the PA. The simulation results validate the performance increase and the synchronisation-error immunity over the existing simplified filter look up table method.
AB - Power amplifier (PA) is one of important components in wireless communication system. However, its non-linear and memory characteristic cause harmful distortion, which significantly decreases the power efficiency and wastes electronic energy since the power of PA needs back off. To overcome the non-linear and memory problems, a novel method based on distortion-characteristic estimation algorithm is developed in this study. The main innovation of this study is manifested in two aspects: first, the authors use well designed training signals to estimate the distortion characteristic of the PA; second, a novel PA characteristic estimation algorithm is developed in order to calculate the optimal state of the ideal predistorter that behaves like the inverse characteristic of PA theoretically. Since this novel method does not require the error between original signals and feedback signals, it can avoid the significant errors caused by the time mismatch between source signals and feedback signals, and can increase the power efficiency of the PA. The simulation results validate the performance increase and the synchronisation-error immunity over the existing simplified filter look up table method.
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U2 - 10.1049/iet-spr.2016.0087
DO - 10.1049/iet-spr.2016.0087
M3 - Article
AN - SCOPUS:85017551377
SN - 1751-9675
VL - 10
SP - 1024
EP - 1030
JO - IET Signal Processing
JF - IET Signal Processing
IS - 9
ER -