Darkblade Systems teamed with the University of Virginia School of Engineering to sponsor an engineering capstone class project focused on creating Electronic Warfare (EW) capabilities for low Size, Weight, and Power (SWAP) UAS (Unmanned Aircraft Systems) Swarms. UVA’s talented fourth year engineering students created innovative solutions for processing complex timing and signal calculations at extremely low power.
The work completed by UVA’s engineering students was the first step in creating an extremely low SWAP Time Difference of Arrival (TDOA) geolocation system capable of operating on and with semi-autonomous drones. The ultimate goal of the project is to have a system of networked sensors which can detect and geolocate a signal in real time then pass that information to the drone navigation system and direct the drone swarm for further signal geolocation refinement and visualization.
Darkblade Systems would like to thank the students and faculty of the University of Virginia’s School of Engineering for their guidance and support of the project.