AIRFORC – Artificial Intelligence based RF-detection,classification and jamming for C-UAS

The objective of this project proposal is to design the RF C-UAS system which can detect and classify drone RF signals in a realistic outdoor environment in presence of surrounding RF communications. Furthermore, we also want to develop a protocol-aware RF jammer that will only neutralize a malicious drone, not a friendly one, and will not interfere with any existing RF communication in the surrounding. Finally, we want to validate the performance through real-time outdoor tests.