LSS target threat estimation and capture prediction trajectory simulation

To address the potential airspace security threats of "low, slow, and small" targets, a dynamic Bayesian network model is used to determine the multi-target potential threat value’ and then establish the threat level. The target with the highest threat value is captured, and the improved A-Star algorithm is used. The size of the search space is reduced by combining with the maneuvering performance of the rotor-type UAV to improve the efficiency of real-time capture trajectory planning. Through simulation experiment analysis and verification, the multi-target threat value given by the dynamic Bayesian network was consistent with that in the expert experience evaluation. At the same time, the improved A-Star algorithm can give the optimal capture trajectory of the target with the greatest potential threat.