|Table of Contents|

[1] Yu Cuiping, Liu Yuanan, Li Shulan, Nan Jingchang, et al. Step memory polynomial predistorterfor power amplifiers with memory [J]. Journal of Southeast University (English Edition), 2009, 25 (3): 303-308. [doi:10.3969/j.issn.1003-7985.2009.03.004]
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Step memory polynomial predistorterfor power amplifiers with memory()
用于功率放大器的阶梯记忆多项式预失真器

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
25
Issue:
2009 3
Page:
303-308
Research Field:
Electronic Science and Engineering
Publishing date:
2009-09-30

Info

Title:
Step memory polynomial predistorterfor power amplifiers with memory
用于功率放大器的阶梯记忆多项式预失真器
Author(s):
Yu Cuiping1, Liu Yuanan1, Li Shulan1, Nan Jingchang2
1School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
2College of Electronics and Information Engineering, Liaoning Technical University, Huludao 125105, China
于翠屏1, 刘元安1, 黎淑兰1, 南敬昌2
1北京邮电大学电子工程学院, 北京100876; 2辽宁工程技术大学电子信息学院, 葫芦岛 125105
Keywords:
power amplifier predistortion memory effects memory polynomial
功率放大器 预失真 记忆效应 记忆多项式
PACS:
TN72
DOI:
10.3969/j.issn.1003-7985.2009.03.004
Abstract:
To reduce the number of digital predistortion coefficients, a step memory polynomial(SMP)predistorter is presented.The number of predistortion coefficients is decreased by adjusting the maximum nonlinear order for different memory orders in the traditional memory polynomial(MP)predistorter.The proposed SMP predistorter is identified by an offline learning structure on which the coefficients can be extracted directly from the sampled input and output of a PA.Simulation results show that the SMP predistorter is not tied to a particular PA model and is, therefore, robust.The effectiveness of the SMP predistorter is demonstrated by simulations and experiments on an MP model, a parallel Wiener model, a Wiener-Hammerstein model, a sparse-delay memory polynomial model and a real PA which is fabricated based on the Freescale LDMOSFET MRF21030.Compared with the traditional MP predistorter, the SMP predistorter can reduce the number of coefficients by 60%.
为了减少数字预失真系数的数量, 提出了阶梯记忆多项式(SMP)预失真器.该预失真器通过改变传统记忆多项式预失真器中不同记忆深度对应的最大非线性阶数以降低系数数量.SMP预失真器系数的提取采用离线学习结构, 直接通过功率放大器(PA)的输入、输出采样数据计算预失真系数.仿真结果表明了SMP预失真器的鲁棒性, 它并不局限于某一特定PA模型.SMP预失真器的有效性分别在记忆多项式模型、并行Wiener模型、Wiener-Hammerstein模型、非单位延时记忆多项式模型和基于Freescale LDMOSFET MRF21030制作的实际PA上, 通过仿真和实验的方式进行了验证.与传统MP预失真器相比, SMP预失真器可减少系数数量60%以上.

References:

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Memo

Memo:
Biographies: Yu Cuiping(1983—), female, doctor;Liu Yuanan(corresponding author), male, professor, yuliu@bupt.edu.cn.
Foundation items: The National High Technology Research and Development Program of China(863 Program)(No.2008AA01Z211), the Project of Industry-Academia-Research Demonstration Base of Education Ministry of Guangdong Province(No.2007B090200012).
Citation: Yu Cuiping, Liu Yuanan, Li Shulan, et al.Step memory polynomial predistorter for power amplifiers with memory[J].Journal of Southeast University(English Edition), 2009, 25(3): 303-308.
Last Update: 2009-09-20