The introduction of the GNSS positioning technology into the evolution of ERTMS/ETCS is based on the concept of virtual balise to minimize the impact onto existing ERTMS solutions. The detection of virtual balises is foreseen by using GNSS in combination with odometry information or other kinematic sensors. However, the presence of local GNSS threats (e.g, multipath, NLOS or interference) may lead to errors in the pseudorange measurement that cannot be neither corrected by local or wide-area augmentation systems nor properly bounded, and will lead ultimately to an error in the virtual balise position that cannot be bounded with the required integrity. In order to a priori prevent the risk of this hazardous situation, virtual balises must be logically located in areas where there are not local threats that may lead a Virtual Balise Transmission System on board the train to dynamically estimate unbounded virtual balise position errors. This paper summarizes the initial work performed in the H2020 GSA Project ERSAT-GGC with respect to the different techniques that can be used to detect local GNSS threats and that can support a later classification of railway areas as suitable or not suitable for placing virtual balises.

Crespillo, O.G., Konovaltsev, A., Marais, J., Sabina, S., Vennarini, A., Coluccia, A., et al. (2018). Local GNSS threat detection methods for virtual balise placement in railway applications. In Proceedings of 2018 16th International Conference on Intelligent Transport System Telecommunications, ITST 2018 (pp.1-7). Institute of Electrical and Electronics Engineers Inc. [10.1109/ITST.2018.8566830].

Local GNSS threat detection methods for virtual balise placement in railway applications

Neri A.;
2018-01-01

Abstract

The introduction of the GNSS positioning technology into the evolution of ERTMS/ETCS is based on the concept of virtual balise to minimize the impact onto existing ERTMS solutions. The detection of virtual balises is foreseen by using GNSS in combination with odometry information or other kinematic sensors. However, the presence of local GNSS threats (e.g, multipath, NLOS or interference) may lead to errors in the pseudorange measurement that cannot be neither corrected by local or wide-area augmentation systems nor properly bounded, and will lead ultimately to an error in the virtual balise position that cannot be bounded with the required integrity. In order to a priori prevent the risk of this hazardous situation, virtual balises must be logically located in areas where there are not local threats that may lead a Virtual Balise Transmission System on board the train to dynamically estimate unbounded virtual balise position errors. This paper summarizes the initial work performed in the H2020 GSA Project ERSAT-GGC with respect to the different techniques that can be used to detect local GNSS threats and that can support a later classification of railway areas as suitable or not suitable for placing virtual balises.
2018
978-1-5386-5544-3
Crespillo, O.G., Konovaltsev, A., Marais, J., Sabina, S., Vennarini, A., Coluccia, A., et al. (2018). Local GNSS threat detection methods for virtual balise placement in railway applications. In Proceedings of 2018 16th International Conference on Intelligent Transport System Telecommunications, ITST 2018 (pp.1-7). Institute of Electrical and Electronics Engineers Inc. [10.1109/ITST.2018.8566830].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/355905
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