基于样本复用Rls算法的数字预失真器性能改进

Omar Z. Alngar, W. El-Deeb, El-Sayed M. El-Rabaie
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引用次数: 2

摘要

本文对传统的递推最小二乘(RLS)算法进行了改进,用于设计自适应数字预失真器(DPD)。使用样本重用技术执行修改,即使在使用少量样本时也可以提高DPD的性能。基于该算法设计的DPD减小了功率放大器的非线性和记忆效应问题,性能优于传统的RLS算法。此外,该算法使设计人员能够完全控制产生的误差,并且可以方便地确定每种应用的误差。采用不同类型和数量的输入样本以及不同的PA特性进行仿真,比较经典算法和改进算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the Performance of the Digital Predistorter Based on Sample Reuse- Rls Algorithm
In this paper, a modification is introduced over the conventional recursive least square (RLS) algorithm for designing adaptive digital predistorter (DPD). The modification is performed using a sample reuse technique to raise the performance of the DPD even when using small number of samples. The designed DPD based on the new algorithm reduces the nonlinearity and memory effect problems of power amplifiers and gives better performance than the conventional RLS algorithm. In addition, the proposed algorithm gives the designer full control of the resulting error which can be conveniently determined for each application. Simulation results are performed using different types and numbers of input samples and different PA characteristics to compare between the performance of the classical and the modified algorithm.
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