A Vector Rotation-based Nonlinear Support Vector Regression Model for Envelope Tracking RF Power Amplifiers

被引：1
|
作者：
Hu, Guangyu [1 ]
Zhu, Xiao-Wei [1 ]
Xia, Jing [2 ]
Yu, Chao [1 ]
Shi, Yuhai [3 ]
机构：
[1] Southeast Univ, State Key Lab Millimeter Waves, Nanjing 210096, Peoples R China
[2] Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212013, Jiangsu, Peoples R China
[3] Acad Broadcasting Sci SARFT, Beijing, Peoples R China
来源：
2019 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY (ICMMT 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
Behavioral modeling; envelope tracking; power amplifier (PA); support vector regression;
D O I：
10.1109/icmmt45702.2019.8992850
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a novel behavior model for envelope tracking (ET) power amplifiers(PAs) is proposed by including the basis term of decomposed vector rotation (DVR) in the real value time-delay support vector regression (SVR) based model. Experiment results indicated that the SVR based model has the ability to model the behavior of ET PAs with distinct characteristic at different power levels. Compared to the original SVR model, more than 2 dB improvements in normalized mean square error (NMSE) can be achieved by the proposed model. Furthermore, when super-parameters changes, the proposed model shows better accuracy and stability.
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收藏
页数：3
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