Behavioral Modeling and Predistortion of nonlinear Power Amplifiers Based on Adaptive Filtering Techniques

被引：0
|
作者：
Zerguine, Azzedine [1 ]
Hammi, Oualid [1 ]
Abdelhafiz, Abubakr H. [2 ]
Helaoui, Mohammed [2 ]
Ghannouchi, Fadhel [2 ]
机构：
[1] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia
[2] Univ Calgary, Schulich Sch Engn, iRadio Elect & Comp Engn, Calgary, AB T2N 1N4, Canada
来源：
2014 11TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD) | 2014年
关键词：
Adaptive filtering; power amplifier nonlinearities; behavioral modeling; nonlinear system identification; DIGITAL PREDISTORTION; ALGORITHMS;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, the use of some of the most popular adaptive filtering algorithms for the purpose of linearizing power amplifiers by the well-known digital predistortion (DPD) technique is investigated. First, an introduction to the problem of power amplifier linearization is given, followed by a discussion of the model used for this purpose. Next, a variety of adaptive algorithms are used to construct the digital predistorter function for a highly nonlinear power amplifier and their performance is comparatively analyzed. Based on the simulations presented in this paper, conclusions regarding the choice of algorithm are derived.
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页数：5
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