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
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%.
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