On radio frequency fingerprint identification for DSSS systems in low SNR scenarios

Xing, Y ORCID: 0000-0002-5177-4829, Hu, A ORCID: 0000-0002-0398-4899, Zhang, J ORCID: 0000-0002-3502-2926, Peng, L ORCID: 0000-0001-5859-7119 and Li, G ORCID: 0000-0003-1145-1168 (2018) On radio frequency fingerprint identification for DSSS systems in low SNR scenarios IEEE Communications Letters, 22 (11). pp. 2326-2329. ISSN 1089-7798, 1558-2558

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Abstract

Radio frequency fingerprint (RFF) is an intrinsic hardware characteristic and has been employed for device identification. Its application in low signal-to-noise-ratio (SNR) has never been explored because its identification performance is greatly affected by the received signal quality. This letter proposes a novel RFF identification scheme for spread spectrum systems in low SNR scenarios. In the scheme, a signal preprocessing method, information data estimation-based stacking algorithm, is proposed, which leverages the repeated spreading sequences and stacks them together to eliminate the noise and interference effect. Simulation results demonstrate that the proposed scheme can achieve 98% identification rate when the received signal SNR is -15 dB and the length of spreading sequence is 1023.

Item Type:	Article
Uncontrolled Keywords:	Radio frequency fingerprint, spread spectrum, low SNR, device identification
Depositing User:	Symplectic Admin
Date Deposited:	18 Sep 2018 09:30
Last Modified:	22 Jan 2026 08:04
DOI:	10.1109/LCOMM.2018.2871454
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3026406
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