Luo, Hongyi, Li, Guyue, Xing, Yuexiu, Zhang, Junqing 
ORCID: 0000-0002-3502-2926, Hu, Aiqun and Wang, Xianbin
(2023)
RelativeRFF: Multi-Antenna Device Identification in Multipath Propagation Scenarios.
In: ICC 2023 - IEEE International Conference on Communications, 2023-5-28 - 2023-6-1.
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Abstract
Radio frequency fingerprinting (RFF) is a promising solution for realizing secure and efficient device authentication. The multipath channel overshadows and disrupts the RFF extraction, which causes difficulties in training new models in the presence of fading. Existing approaches attempt to deal with this challenge by traversing channels through simulated channel models. However, this solution requires a large amount of data for training and it is difficult to guarantee that the training covers all possible channels. To mitigate the multipath channel effect on RFF with less training data, we propose a new method in a multi-antenna system, named Relative-RFF (R-RFF), which utilizes channel state information (CSI) feedback to counteract the multipath channel. The RFF imperfection relation between the different antenna chains of the device is proved to be retained after the counteraction of the multipath channel. Numerical results demonstrate that the proposed R-RFF can achieve an identification accuracy of 95.9% for 30 UEs in Tapped Delay Line channel with a signal-to-noise ratio of 20 dB.
| Item Type: | Conference or Workshop Item (Unspecified) |
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| Additional Information: | (c) 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
| Divisions: | Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 20 Mar 2023 09:36 |
| Last Modified: | 20 Dec 2023 15:06 |
| DOI: | 10.1109/icc45041.2023.10279540 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3169157 |
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