An New Adaptive Digital Predistortion Technology Based on RBF-Neural Network

被引：0
|
作者：
Qiu Wei
Zhu Minghua
Xie Huijun
机构：
来源：
PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL ENGINEERING, VOLS I AND II | 2010年
关键词：
Power amplifier; predistortion; RBF-neural network; ACPR; clipping;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
To overcome the inherent nonlinearity of high power amplifier, we have to make a linearization process. First, this paper makes a comparison between BP and RBF Neural Network. And then on the base of description of the basic principle about digital predistortion, the paper propose a adaptive digital predistortion technology based on RBF-Neural Network, which can improve amplitude-distortion and phase-distortion at the same time, having an obvious improment on ACPR and CLIPPING. Last, the paper use a 16QAM signal to make a matlab simulation, the result also prove this technology have a good performance.
引用
收藏
页码：953 / 956
页数：4
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