An Intelligent Trajectory Prediction Method for Hypersonic Glide Vehicles Based on Intent Information

Aiming at the difficulty of trajectory prediction caused by the changing motion mode of hypersonic glide vehicle and the short prediction window, the trajectory characteristics of hypersonic glide vehicle under typical mission scenarios are analyzed, and an intelligent trajectory prediction algorithm based on intention information is proposed. Firstly, the conversion formula for identifying control parameters of hypersonic glide vehicle under radar system is derived. Then, the influence of intention on hypersonic glide vehicle control parameters is analyzed from the defense point of view, and the core influencing factors are determined such as the approach speed, course angle deviation and tangential distance from the center of the nearest no-fly zone. Finally, taking core factors, historical control parameters and historical location information as characteristic values, the future trajectory of hypersonic glide vehicle is predicted by introducing sequence-to-sequence deep learning model of attention mechanism. The simulation results show that the trajectory prediction algorithm designed in this paper has better accuracy than traditional trajectory prediction algorithm that only use position information.