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An ESPRIT-based approach for RF fingerprint estimation in multi-antenna OFDM systems
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Wang, D., Hu, A., Chen, Yunfei, Wang, Y. and You, X. (2017) An ESPRIT-based approach for RF fingerprint estimation in multi-antenna OFDM systems. IEEE Wireless Communications Letters, 6 (6). pp. 702-705. doi:10.1109/LWC.2017.2731951
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Official URL: http://doi.org/10.1109/LWC.2017.2731951
Abstract
Estimation of radio frequency fingerprint (RFF) of
a transmitter from the received signal is often affected by the
wireless communication channel. The existing approaches mainly
rely on the channel reciprocity to obtain the RFF. In this letter,
we propose a novel method to extract the RFF from the received
signal by estimating the signal parameters using the rotational
invariance technique (ESPRIT), which takes advantage of the
multiple receiver antennas. We prove that the RFF estimation
is independent of the wireless channel reciprocity. Numerical
results show that the RFF can be accurately extracted from the
received signal, and that the proposed algorithm has excellent
performance.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||||
| Divisions: | Faculty of Science > Engineering | ||||||||
| Library of Congress Subject Headings (LCSH): | Radio -- Transmitter-receivers, Radio -- Transmitters and transmission | ||||||||
| Journal or Publication Title: | IEEE Wireless Communications Letters | ||||||||
| Publisher: | IEEE | ||||||||
| ISSN: | 2162-2337 | ||||||||
| Official Date: | December 2017 | ||||||||
| Dates: |
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| Volume: | 6 | ||||||||
| Number: | 6 | ||||||||
| Page Range: | pp. 702-705 | ||||||||
| DOI: | 10.1109/LWC.2017.2731951 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Funder: | Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC) | ||||||||
| Grant number: | 61571110 (NSFC) |
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