Pre-correlation and post-correlation RF fingerprinting methods for GNSS spoofer identification with real-field measurement data

Wenbo Wang, Elena-Simona Lohan, Ignacio Aguilar Sanchez, Gianluca Caparra

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)
20 Downloads (Pure)


Radio Frequency fingerprinting (RFF) methods are gaining popularity as physical-layer identification or authentication methods in various navigation and communication applications. Traditionally, RFF has been used in terrestrial communications to identify the genuine transmitters from spoofers and jammers. In recent literature, RFF has gained attention also in the context of satellite navigation and Low Earth Orbit (LEO) satellite communications, though this research area is still in an incipient phase. RFF studies in the context of satellite transmitters (or transceivers) are typically hindered by the challenges in acquiring high-quality raw measurement data. In this paper, we analyze via RFF methods, in both pre-correlation and post-correlation domain, the raw GNSS data collected at three locations: Tampere (Finland), Nottingham (UK), and Nuremberg (Germany). The datasets for the first two scenarios have been collected by the authors, while the third dataset is available in open access. We show that we are able to reach average classification probabilities of spoofer versus GNSS up to 99.99% (i.e., Nuremberg measurements) with pre-correlation data and up to 87.72 % (i.e., Nottingham measurements) with post-correlation data. We also discuss the challenges and limitations of RFF in the context of GNSS.
Original languageEnglish
Title of host publication2022 10th Workshop on Satellite Navigation Technology, NAVITEC 2022
Number of pages10
ISBN (Electronic)978-1-6654-1616-0
ISBN (Print)978-1-6654-1617-7
Publication statusPublished - 2022
Publication typeA4 Article in conference proceedings
EventWorkshop on Satellite Navigation Technology - Noordwijk, Netherlands
Duration: 5 Apr 20227 Apr 2022

Publication series

NameESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing
ISSN (Print)2325-5439
ISSN (Electronic)2325-5455


ConferenceWorkshop on Satellite Navigation Technology

Publication forum classification

  • Publication forum level 0


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