End-Game Algorithm for Guided Weapon System Against Aerial Evader

An efficient and generalized method of end-game algorithm has been proposed to engage air-borne evaders, including high speed, highly maneuvering, and small evaders, such as unmanned aerial vehicles (UAVs). Performance of interceptors using time delay estimation and guidance integrated real-time prediction algorithm has been simulated to estimate the errors in engaging maneuvering evader targets. After extensive modeling of engagement geometry and simulation studies of the proposed algorithm, it is concluded that the algorithm can be used for defeating ballistic as well as maneuvering target with higher accuracy compared to other methods that are reported in the literature. The accuracy of estimation is found to improve by 12% over the reported methods used for engaging maneuvering evaders. The algorithm is implemented in hardware and results are presented for a typical case of engagement geometry against a small maneuvering target, which ensured maximum damage to target.