Author(s): Francisco Gallardo López; Antonio Pérez Yuste; David Sánchez Heredero;
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GNSS (Global Navigation Satellite Systems) jamming and spoofing pose a severe threat across key sectors, as GNSS is widely used across many applications, including critical infrastructure. Due to the current geopolitical tensions, the navigation and timing service provided by GNSS (e.g., Galileo, GPS, Glonass, etc.) have been targeted.
Citation:
ABSTRACT
In the current geopolitical situation, the disruption and falsification of GNSS (Global Navigation Satellite Systems) signals poses a severe threat for the defence operations of the European Union (EU) and NATO, and puts civil operations, like airlines and maritime operators, in danger. Several areas in the world are experiencing this problem in almost a continuous manner over the last few months (e.g., East border of the EU and Middle East, among others). This paper discusses the work performed by the Universidad Politécnica de Madrid (UPM) and DLR GfR mbH in the field of detection and protection of attacks to GNSS signals for critical infrastructure, developing technologies that were applied in ESA (European Space Agency) projects like RESIST, for worldwide detection of GNSS Spoofers and Jammers. This paper will discuss the results of the application of the AI-based developed systems CMCU (Central Machine Learning Unit) and RESIST to different fields and projects. A brief discussion on new techniques developed on top of these two is outlined.
