A Novel Two-Dimensional Crest Factor Reduction for Performance Improvement of RF Power Amplifiers
A Novel Two-Dimensional Crest Factor Reduction for Performance Improvement of RF Power Amplifiers
复制标题
用于提高射频功率放大器性能的新型二维波峰因数降低
DOI：
10.1109/lmwc.2015.2497162
复制
发表时间：
2015-12
影响因子：
3
通讯作者：
S. Li
中科院分区：
文献类型：
--
作者：
Y. Liu;于翠屏;J. Yu;S. Li
本文提出了一种新的二维波峰因子减缩(2D-CFR)技术。它与双频数字预失真(DPD)一起工作，以增强并行双频或宽带功率放大器(PA)的性能。在峰值检测过程中，该方法引入两个频段之间的瞬时差值来确定降低量。通过理论分析，将该方法与传统方法进行了比较。为了评估该方法的性能，用一个由5 MHz宽带码分多址(WCDMA)信号和一个边缘到边缘间隔为85 MHz的5 MHz长期演进(LTE)信号组成的双频信号激励宽带功放。实验结果表明，在不牺牲线性性能和效率的前提下，平均误差向量幅值(EVM)从3.35%降至1.85%。
In this letter, a novel two-dimensional crest factor reduction (2D-CFR) technique is proposed. It works together with dual-band digital predistortion (DPD) to enhance the performance of concurrent dual-band or broadband power amplifiers (PAs). During peak detection process, this new method introduces the instantaneous difference between the two bands to determine the amount of reduction. Theoretical analysis is performed to compare the proposed approach and the conventional approaches. To evaluate the performance of the proposed method, a broadband PA is excited by a dual-band signal composed of a 5 MHz wideband code division multiple access (WCDMA) signal and a 5 MHz long-term evolution (LTE) signal with edge to edge separation of 85 MHz. The experimental results demonstrate that the average error vector magnitude (EVM) is reduced from 3.35% to 1.85% without sacrificing the performance of linearity and efficiency.
登录
查看更多内容
DOI：
10.1002/mmce.20773
发表时间：
2014-05
期刊：
International Journal of RF and Microwave Computer‐Aided Engineering
影响因子：
--
作者：
Haixia Xiang;Cuiping Yu;Jinchun Gao;Shulan Li;Yongle Wu;M. Su;Yuan’an Liu
通讯作者：
Haixia Xiang;Cuiping Yu;Jinchun Gao;Shulan Li;Yongle Wu;M. Su;Yuan’an Liu
DOI：
10.1109/tmtt.2011.2163802
发表时间：
2011-09
影响因子：
4.3
作者：
S. Bassam;M. Helaoui;F. Ghannouchi
通讯作者：
S. Bassam;M. Helaoui;F. Ghannouchi
DOI：
10.1109/mwsym.2014.6848542
发表时间：
2014-06
期刊：
2014 IEEE MTT-S International Microwave Symposium (IMS2014)
影响因子：
--
作者：
Bilel Fehri;S. Boumaiza
通讯作者：
Bilel Fehri;S. Boumaiza
影响因子：
3
作者：
S. Bassam;Wen-hua Chen;M. Helaoui;F. Ghannouchi;Zhenghe Feng
通讯作者：
S. Bassam;Wen-hua Chen;M. Helaoui;F. Ghannouchi;Zhenghe Feng
影响因子：
1.1
作者：
Xiaofan Chen;Silong Zhang;Wen-hua Chen
通讯作者：
Xiaofan Chen;Silong Zhang;Wen-hua Chen