Decorrelation-based Piecewise Digital Predistortion: Operating Principle and RF Measurements

被引:0
|
作者
Abdelaziz, Mahmoud [1 ]
Anttila, Lauri [1 ]
Brihuega, Alberto [1 ]
Allen, Markus [1 ]
Valkama, Mikko [1 ]
机构
[1] Tampere Univ, Dept Elect Engn, Tampere, Finland
来源
2019 16TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS) | 2019年
基金
芬兰科学院;
关键词
5G; digital predistortion; GaN power amplifiers; linearization; adaptive filters; nonlinear signal processing; POWER; AMPLIFIERS; SINGLE;
D O I
10.1109/iswcs.2019.8877236
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we propose a new closed-loop learning architecture for digital predistortion (DPD) with piecewise (PW) memory polynomial models. The technique is targeted specifically for power amplifiers (PAs) that exhibit strong nonlinear behavior and nonlinear memory effects, such as those implemented with gallium nitride (GaN) technology. The learning algorithm is based on a computationally simple decorrelating learning rule, which is applied on each PW polynomial model separately. Measurements with LTE-A signals on a basestation GaN PA show that the proposed technique clearly outperforms the reference closed-loop memory polynomial DPD, in terms of reducing the adjacent channel emissions.
引用
收藏
页码:340 / 344
页数:5
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