Countering Unmanned Aircraft Systems (UASs)
Unmanned Aircraft Systems (UASs) or drones pose a significant risk to personnel and infrastructure as well as ships, aircraft, and vehicles. They are difficult to track, identify, and defeat. The low cost and ease of operation make them ideal for asymmetric warfare.
There are numerous conventional sensing technologies from radar to RGB/IR/NIR to acoustic that, even when AI is applied, are a foundational but incomplete first step towards an effective counter UAS system to reliab le detect, identify and defeat a singular or swarm of threats.
The missing gap today is precision detection, discrimination, and tracking of small, highly pourous potential threats and at distance. When combined with existing radar and fire control systems, Psionic Doppler Lidar can both discriminate targets and provide highly accurate range and vector velocity information over extended ranges to enable a first round kill capability.