Detection of GNSS Interference in Safety Critical Railway Applications using Commercial Receivers

Alessia Vennarini, Andrea Coluccia, Daniel Gerbeth, Omar Garcia Crespillo, Alessandro Neri

Abstract: Satellite navigation plays a critical role in new railway signaling and train control systems. It will allow higher levels of automation at a reduce cost in installation and maintenance as compared to current infrastructure-based technologies. However, in order to be integrated in railway systems, GNSS must guarantee the stringent railway safety requirements. GNSS safety has been extensively quantified for the aviation community, however, in the railway environment the probability of local GNSS hazards like interferences is larger due to its operation in a non-restricted space. Railway GNSS receivers must be therefore equipped with mechanisms to protect the position determination from being corrupted by undesired interferences (jamming or spoofing) without being aware of it. In this paper and based on Commercial-Off-The-Shelf (COTS) hardware we implemented interference detection functions suitable for railway localization. We detail the algorithm design as well as the necessary calibration procedure to determine the nominal signal model. The performance of the interference detection is analyzed with an experimental setup on a commercial train during the measurement campaign organized for the EU project ERSAT-GGC. Figures about the detection capability and detected events along the selected line are finally provided.
Published in: Proceedings of the 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020)
September 21 - 25, 2020
Pages: 1476 - 1489
Cite this article: Vennarini, Alessia, Coluccia, Andrea, Gerbeth, Daniel, Crespillo, Omar Garcia, Neri, Alessandro, "Detection of GNSS Interference in Safety Critical Railway Applications using Commercial Receivers," Proceedings of the 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020), , September 2020, pp. 1476-1489.
https://doi.org/10.33012/2020.17733
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