Memory polynomial based support vector regression dynamic behavioral model for Doherty power amplifiers-Reference-Cited by-同舟云学术

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Memory polynomial based support vector regression dynamic behavioral model for Doherty power amplifiers

Published:2022-01-17 Issue:4 Volume:35 Page:
ISSN:0894-3370
Container-title:International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
language:en
Short-container-title:Int J Numerical Modelling

Author:

Wang Shijie¹,King Justin²^ORCID,Cai Jialin¹^ORCID

Affiliation:

1. The Key Laboratory of RF Circuit and System, Ministry of Education Hangzhou Dianzi University Hangzhou China

2. RF and Microwave Research Group Trinity College Dublin Dublin Ireland

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jnm.2985

Reference31 articles.

1. Behavioral modeling and linearization of wideband RF power amplifiers using BiLSTM networks for 5G wireless systems;Sun J;IEEE Transac Veh Technol,2019

2. The linearity‐efficiency compromise;Lavrador PM;Microwave Mag,2010

3. Efficiency of Doherty RF Power-Amplifier Systems

4. Analysis of a multi‐transistor interleaved Doherty amplifier;Eccleston KW;Asia Pacif Microw Conf,2009

5. High Power Outphasing Modulation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Behavioral modeling of LMBA with different back‐off state using PSO optimized XGBoost method;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2024-08-29

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