A New Predistortion Method with Low Adjacent Channel Leakage Based on Piecewise Linear

HU Ming; PAN Wen-sheng; ZHU Xiao-dong

doi:10.3969/j.issn.0372-2112.2013.11.029

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A New Predistortion Method with Low Adjacent Channel Leakage Based on Piecewise Linear

更新时间：2025-07-16

- A New Predistortion Method with Low Adjacent Channel Leakage Based on Piecewise Linear
- Acta Electronica Sinica Vol. 41, Issue 11, Pages: 2297-2301(2013)
- 作者机构：
  
  电子科技大学通信与信息工程学院,四川,成都,611731
- 作者简介：
- 基金信息：
  
  National Science and Technology Major Project (No.2010ZX03007-003, No.2011ZX03001-006-01, No.2012ZX03003010-003, No.2014ZX03003001-002);National Natural Science Foundation of China (No.61101034, No.61271164, No.61001087, No.u1035002/L05)
- DOI：10.3969/j.issn.0372-2112.2013.11.029
  CLC： TN830.6
- Published：2013
- 稿件说明：
移动端阅览
HU Ming, PAN Wen-sheng, ZHU Xiao-dong. A New Predistortion Method with Low Adjacent Channel Leakage Based on Piecewise Linear[J]. Acta Electronica Sinica, 2013, 41(11): 2297-2301.
DOI：

HU Ming, PAN Wen-sheng, ZHU Xiao-dong. A New Predistortion Method with Low Adjacent Channel Leakage Based on Piecewise Linear[J]. Acta Electronica Sinica, 2013, 41(11): 2297-2301. DOI： 10.3969/j.issn.0372-2112.2013.11.029.

摘要

本文基于预失真技术提出一种记忆非线性系统的线性化处理方法.与传统预失真模型（直接学习型、间接学习型）获取系统逆传递函数的方式不同，这里采用直接获取记忆非线性系统传递函数的方式，将传递函数表示为分段线性化形式后，应用于所提出的预失真方法中.验证结果显示，该方法与无预失真情况相比，记忆非线性系统输出的归一化均方误差改善约80dB，且邻道泄漏比的改善值超过70dB，克服系统的记忆性、非线性，让记忆非线性系统的输出和输入呈现线性关系.

Abstract

A new method of linearity based on predistortion for memory nonlinear system is introduced in this paper.Different from the traditional predistortion models (direct study model and indirect study model)

the transfer function instead of the inverse transfer function is obtained for memory nonlinear system.The transfer function is presented as piecewise linear function first

and then be used in predistortion process.The results show that the NMSE(Normalized Mean Square Error) of the memory nonlinear system output is reduced about 80dB

and the ACLR(Adjacent Channel Leakage Ratio) is reduced over 70dB

comparing with no predistortion system.The memory and nonlinear characteristics are eliminated

and the relationship of input and output becomes linear and memoryless.

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