Radio Frequency Fingerprint Identification Method in Wireless Communication

Zhe Li; Yanxin Yin; Lili Wu

Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I

Research Article

Radio Frequency Fingerprint Identification Method in Wireless Communication

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@INPROCEEDINGS{10.1007/978-3-319-73564-1_19,
    author={Zhe Li and Yanxin Yin and Lili Wu},
    title={Radio Frequency Fingerprint Identification Method in Wireless Communication},
    proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I},
    proceedings_a={MLICOM},
    year={2018},
    month={2},
    keywords={Radio frequency fingerprinting Identification method Identity authentication},
    doi={10.1007/978-3-319-73564-1_19}
}

Zhe Li
Yanxin Yin
Lili Wu
Year: 2018
Radio Frequency Fingerprint Identification Method in Wireless Communication
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_19

Zhe Li¹^,*, Yanxin Yin¹^,*, Lili Wu¹^,*

1: China Academy of Launch Vehicle Technology

*Contact email: zheli@163.com, xinye624@163.com, shsqulili@163.com

Abstract

The Radio frequency fingerprinting (RFF) generation mechanism is analyzed in this paper. It is proved to be a secure means for network security access. At the same time, the method of RFF extraction is also given. The characteristics of RFF are analyzed theoretically. Then, a high-precision fingerprint feature identification method based on Kalman filter is proposed. The results of the experiments show that the proposed system can work effectively in the environment where the signal-to-noise ratio (SNR) is higher than 10 dB, and the achieved identification rate is higher than 90%.

Keywords: Radio frequency fingerprinting Identification method Identity authentication

Published: 2018-02-09
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-73564-1_19