Multi-Section Support Vector Regression-Based Behavioral Modeling of RF GaN Doherty Power Amplifiers

被引：3
|
作者：
Qi, Lin [1 ]
Yin, Hang [1 ]
Chen, Peng [1 ]
Cai, Jialin [3 ]
Zhu, Xiao-Wei [1 ]
Yu, Chao [1 ,2 ]
Hong, Wei [1 ,2 ]
机构：
[1] Southeast Univ, State Key Lab Millimeter Waves, Nanjing, Peoples R China
[2] Purple Mt Lab, Nanjing, Peoples R China
[3] Hangzhou Dianzi Univ, Key Lab RF Circuit & Syst, Hangzhou, Peoples R China
来源：
2021 IEEE MTT-S INTERNATIONAL WIRELESS SYMPOSIUM (IWS 2021) | 2021年
基金：
中国国家自然科学基金;
关键词：
Behavioral model; GaN; support vector regression; power amplifier;
D O I：
10.1109/IWS52775.2021.9499388
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：
A novel behavioral model based on multi-section support vector regression (MS-SVR) of radio frequency (RF) Gallium Nitride (GaN) Doherty power amplifiers (PAs) is proposed in this paper. In this method, the input signal is divided into different sections according to signal amplitude and each section is modeled separately using SVR. Experimental validation is performed using a 2.4 GHz Doherty PA. The results show that the proposed model can effectively reduce the time of parameter extraction and signal processing.
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收藏
页数：3
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