To provide priori information of situation and threat assessment and interception defense for hypersonic gliding reentry vehicle, a multi-level recursive trajectory prediction method is proposed. Referring to the theory of multi-level recursive, the method compensates for the unknown parameters of prediction model stochastically. Accordingly, the trajectory prediction problem is decomposed into prediction of aerodynamic parameters and prediction of the target trajectory. The dynamic model is carried out by augmenting the aerodynamic parameters into state vector, and the mix estimation is done for the aerodynamic parameters and model error. The time series forecasting is performed using the estimation of aerodynamic parameters. Based on the prediction of aerodynamic parameters, the dynamic integral equation is used to predict the target trajectory. Two scenarios for different flight modes are designed to analyze the influence of tracking and prediction time on prediction accuracy. Simulations show that the algorithm has a stable and reliable capability for trajectory prediction.

Aiming at trajectory prediction of unpowered gliding hypersonic vehicle and its application requirements, a trajectory prediction algorithm is proposed based on kinetic model. The difficulties of unpowered gliding hypersonic vehicle defense and the function of trajectory prediction are expounded providing a basis for trajectory prediction. The simplified kinetic model is acquired on the basis of force analysis and reasonable shortcutting. The analytical trajectory equations are derived from kinetic model. The framework of trajectory prediction algorithm and the evaluation index are designed. To test and verify the efficiency of the trajectory prediction algorithm, simulation experiments are performed, and the main reasons causing prediction error are analyzed.