一种新的宽带数字预失真欠采样结构

2020 IEEE MTT-S International Wireless Symposium (IWS) Pub Date : 2020-09-20 DOI:10.1109/IWS49314.2020.9360022

Qiang Zhang, Jie Niu, Lei Zhang, Zhiqiang Yu, Chao Yu, Jianfeng Zhai

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引用次数: 1

摘要

本文采用一种新颖的欠采样结构对宽带功率放大器进行线性化处理。该方法采用基于随机解调的降低采样率(RDRS)方法，以较低的采样率对反馈信号的I分量进行采样。与现有的一些数字预失真(DPD)系统相比，它具有较低的复杂性，因为在反馈路径中需要较低速度的ADC。采用最小二乘算法提取DPD系数。实验结果表明，该结构的线性化性能与传统方法基本一致，非常适合宽带DPD。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Novel Undersampling Architecture for Wideband Digital Predistortion

A novel undersampling architecture is employed to linearize the wideband power amplifiers (PAs) in this paper. The approach samples only I component of the feedback signal with a low sampling rate by means of the random demodulation-based reduced sampling rate (RDRS) method. It has lower complexity compared with some existing digital predistortion (DPD) systems, since a lower speed ADC in the feedback path is required. The least-square algorithm is adopted to extract the DPD coefficients. Experimental results show that the architecture achieves nearly the same linearization performance as the conventional methods and it is highly suitable for the broadband DPD.

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2020 IEEE MTT-S International Wireless Symposium (IWS)

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