Research on State Estimation Method Applied to Trajectory Prediction of Air Platforms Active Defense Operations

Starting with the actual operational requirements of active defense, this paper analyzes the advantages, disadvantages, and usage scenarios of different trajectory prediction methods, also analyzes the differences between the active defense combat scenarios of air platforms and other aircraft trajectory prediction scenarios that are currently mainly studied. A state estimation scheme based on extended Kalman filtering is proposed for the special attack intent and motion law of the trajectory prediction object in this scenario. It simulates the process of the attack missile guided with proportional guidance law attacking aircraft based on simulation software, to establish an observation model under conditions of constant proportional guidance coefficient, and performs linearization simulation using Kalman filter nonlinear model. The motion states of the attack missile at different times are observed and the short-term trajectory prediction is performed. The simulation results show that the model can significantly reduce state estimation errors in the active defense combat scenario.