interceptor drones

This article explores the use of the Raft consensus algorithm to coordinate interceptor drones in systems designed to detect and neutralize unmanned aerial vehicles (UAVs). The modified Raft algorithm has enabled stable and synchronized drone actions, allowing for autonomous target interception. Modeling and simulation confirmed the system’s fault tolerance and real-time coordination capabilities. In scenarios involving partial communication failures or drone loss, the system has successfully maintained consensus and continued operation.

The article presents the concept of a hardware and software system for detecting and neutralizing unmanned aerial vehicles (UAVs) using interceptor drones. The proposed system uses passive radars that combine different physical detection principles, such as acoustic, radio, and optical. The data obtained is combined to accurately determine the target’s coordinates in airspace. Target coordinates are calculated based on geometric models of a sphere and a spheroid, which ensure an error of no more than 0.3%.