摘要
数字预失真器是线性化功率放大器的有效工具.记忆多项式等模型难以兼顾模型的精确性和复杂程度.为解决该问题,提出了一种基于反馈的多项式模型建模数字预失真器.不仅使用输入信息,还使用过去时刻的输出信息,用较少的系数个数对高非线性及深记忆效应的功率放大器建立模型.仿真结果显示,该模型比一些常见的模型可更有效地缓解功率放大器的幅值和相位失真.
The digital predistortion is a cost-effective way to the linearize power amplifiers. Memory polynomial is one of the most popular DPD models. However,these models cannot get a good compromise between accuracy and complexity. The author proposes a feedback-based model to characterize DPD. The model not only uses the input information,but also uses the past output information. Simulations show that the model can linearize the magnitude and phase nonlinearity of power amplifiers more effectively.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2017年第5期75-81,共7页
Journal of Beijing University of Posts and Telecommunications
