Adaptive predistortion for power amplifiers based on block-oriented model

doi:10.3778/j.issn.1002-8331.2009.29.034

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (29): 114-117.DOI: 10.3778/j.issn.1002-8331.2009.29.034

• 数据库、信号与信息处理 • Previous Articles Next Articles

Adaptive predistortion for power amplifiers based on block-oriented model

DING Yuan-ming^1，2，WANG Jia-kai²

1.Liaoning Key Lab of Intelligent Information Processing，Dalian，Liaoning 116622，China
2.Institute of Information Engineering，Dalian University，Dalian，Liaoning 116622，China

Received:2008-11-17 Revised:2008-12-23 Online:2009-10-11 Published:2009-10-11
Contact: DING Yuan-ming

模块化模型功率放大器的自适应预失真

丁元明^1，2，王甲凯²

1.辽宁省智能信息处理重点实验室，辽宁大连 116622
2.大连大学信息工程学院，辽宁大连 116622

通讯作者: 丁元明

Abstract

Abstract: An adaptive digital predistortion technique is presented to compensate for the distortions of High Power Amplifiers（HPA） with memory in Orthogonal Frequency Division Multiplexing（OFDM） communication systems.The proposed predistortion schemes are described by block-oriented models’ Wiener model，Hammerstein model and Wiener-Hammerstein model respectively，where the memory adaptive predistorters are constructed for the HPA.Simulation results demonstrate that the proposed predistortion method can effectively realize the linearization of memory HPA，and it has satisfactory performance.

Key words: High Power Amplifiers（HPA）, adaptive predistortion, system identification, block-oriented model

摘要： 为补偿正交频分复用（OFDM）通信系统中由记忆高功率放大器（HPA）引起的失真，提出了一种自适应数字预失真方法。对Wiener、Hammerstein和Wiener-Hammerstein模块化模型的HPA各自构成了一个有记忆自适应预失真器。仿真结果表明，利用模块化模型能快速、简便地实现记忆放大器的线性化，而且具有满意的性能。

关键词: 高功率放大器, 自适应预失真, 系统辨识, 模块化模型

CLC Number:

TN914

TP273

DING Yuan-ming^1，2，WANG Jia-kai². Adaptive predistortion for power amplifiers based on block-oriented model[J]. Computer Engineering and Applications, 2009, 45(29): 114-117.

丁元明^1，2，王甲凯². 模块化模型功率放大器的自适应预失真[J]. 计算机工程与应用, 2009, 45(29): 114-117.

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Adaptive predistortion for power amplifiers based on block-oriented model

模块化模型功率放大器的自适应预失真

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