Extracting fingerprint of wireless devices based on phase noise and multiple level wavelet decomposition

Weichen Zhao; Zhuo Sun; Song Kong

doi:10.1117/12.2261916

7 October 2016 Extracting fingerprint of wireless devices based on phase noise and multiple level wavelet decomposition

Weichen Zhao, Zhuo Sun, Song Kong

Author Affiliations +

Proceedings Volume 9902, Fourth International Conference on Wireless and Optical Communications; 99020E (2016) https://doi.org/10.1117/12.2261916
Event: Fourth International Conference on Wireless and Optical Communications, 2016, Beijing, China

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.

Citation Download Citation

Weichen Zhao, Zhuo Sun, and Song Kong "Extracting fingerprint of wireless devices based on phase noise and multiple level wavelet decomposition", Proc. SPIE 9902, Fourth International Conference on Wireless and Optical Communications, 99020E (7 October 2016); https://doi.org/10.1117/12.2261916

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