Research on Nonlinear Modeling for RF Power Amplifier

Xiang Chen; Jie Chang; Hui Han; Ruowu Wu; Yun Lin

Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings

Research Article

Research on Nonlinear Modeling for RF Power Amplifier

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@INPROCEEDINGS{10.1007/978-3-030-19086-6_51,
    author={Xiang Chen and Jie Chang and Hui Han and Ruowu Wu and Yun Lin},
    title={Research on Nonlinear Modeling for RF Power Amplifier},
    proceedings={Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings},
    proceedings_a={ADHIP},
    year={2019},
    month={5},
    keywords={Power amplifier Emitter feature extraction Individual identification Nonlinear distortion},
    doi={10.1007/978-3-030-19086-6_51}
}

Xiang Chen
Jie Chang
Hui Han
Ruowu Wu
Yun Lin
Year: 2019
Research on Nonlinear Modeling for RF Power Amplifier
ADHIP
Springer
DOI: 10.1007/978-3-030-19086-6_51

Xiang Chen¹, Jie Chang¹, Hui Han², Ruowu Wu¹, Yun Lin²^,*

1: State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE)
2: Harbin Engineering University

*Contact email: linyun_phd@hrbeu.edu.cn

Abstract

The research of radio-frequency (RF) power amplifier model has always been one of the most important breakthroughs in the emitter feature extraction and specific emitter identification. Through the establishment of RF power amplifier model, we can extract feature parameters of the specific emitter. In this paper, we discuss the research issues of the specific emitter feature extraction and individual identification based on RF power amplifier nonlinear model, summarize the nonlinear distortion and modeling method of the power amplifier. Furthermore, we analyzed the applicability of these models.

Keywords: Power amplifier Emitter feature extraction Individual identification Nonlinear distortion

Published: 2019-05-13
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-19086-6_51