Deep Neural Network-Based Footprint Prediction and Attack Intention Inference of Hypersonic Glide Vehicles
In response to the increasing threat of hypersonic weapons, it is of great importance for the Chalk defensive side to achieve fast prediction of their feasible attack domain and online inference of their most probable targets.In this study, an online footprint prediction and attack intention inference algorithm for hypersonic glide vehicles (HGVs)