Radio-frequency anomaly and threat detection tool

-        Description: Tool based on hardware spectral probes and RF Machine Learning techniques aimed to automatically detect and classify electromagnetic emissions, providing information about their authorized/unauthorized nature, characteristics, location and level of threat. Hardware probes could be based in traditional antennas or in quantum RF sensors (potentially more sensitive and enabling broader bandwidths).

-        Possible uses: Detection of:

-        wireless systems used for unlawful purposes (IEDs, unauthorized trackers, listening devices, etc.)

-        devices that exploit vulnerabilities of wireless communications and positioning systems (jammers, rogue base stations, GNSS, spoofers, etc.)

-        unauthorized use of radiofrequency spectrum (operation of non-licensed wireless systems in licensed frequency bands)