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Proceedings Paper

Extracting fingerprint of wireless devices based on phase noise and multiple level wavelet decomposition
Author(s): Weichen Zhao; Zhuo Sun; Song Kong
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Paper Abstract

Wireless devices can be identified by the fingerprint extracted from the signal transmitted, which is useful in wireless communication security and other fields. This paper presents a method that extracts fingerprint based on phase noise of signal and multiple level wavelet decomposition. The phase of signal will be extracted first and then decomposed by multiple level wavelet decomposition. The statistic value of each wavelet coefficient vector is utilized for constructing fingerprint. Besides, the relationship between wavelet decomposition level and recognition accuracy is simulated. And advertised decomposition level is revealed as well. Compared with previous methods, our method is simpler and the accuracy of recognition remains high when Signal Noise Ratio (SNR) is low.

Paper Details

Date Published: 7 October 2016
PDF: 7 pages
Proc. SPIE 9902, Fourth International Conference on Wireless and Optical Communications, 99020E (7 October 2016); doi: 10.1117/12.2261916
Show Author Affiliations
Weichen Zhao, Beiijng Univ. of Posts and Telecommunications (China)
Zhuo Sun, Beiijng Univ. of Posts and Telecommunications (China)
Song Kong, Beiijng Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 9902:
Fourth International Conference on Wireless and Optical Communications
Maode Ma, Editor(s)

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