BREGO: Block-Box for an Optimized GNSS Spectrum Monitoring Network Using Artificial Intelligence
Last Updated: 13/12/2024 14:40 Created at: 13/12/2024 14:40
Final Presentation News: EL1-064 BREGO
On Friday, December 13, 2024, GMV NSL presented the results of the NAVISP EL1-064 activity, “BREGO: Block-Box for an Optimized GNSS Spectrum Monitoring Network Using Artificial Intelligence.” The initiative addressed the growing threats of GNSS jamming and spoofing through a solution based, among the others, on Artificial Intelligence, which can be fitted as an inline unit, to the large amount of receivers already deployed.
The team managed to achieve the following:
- AI-Enabled Threat Mitigation: Real-time detection, classification, and mitigation algorithms were developed using AI/ML techniques. These effectively countered threats like chirp interference—rapidly varying frequency signals that degrade GNSS performance.
- Versatile Block-Box System: The team delivered a configurable, receiver-agnostic hardware-software solution. Validated through rigorous testing with real-world datasets, the system successfully mitigated both low-power and dynamic interference, including chirp and CDMA (Code Division Multiple Access) signals.
- Technological Advances: Innovative features include adaptive notch filters for rapidly changing interference and advanced spoofing detection tailored to GPS L1 signals, laying the groundwork for broader GNSS applications.
The project was part of NAVISP Element 1, which supports innovation and disruptive technologies across the Positioning, Navigation, and Timing (PNT) value chain. The slides of GMS’s final presentation can be found here