An Improved Trajectory Estimation Algorithm in Boost Phase

Aiming at reducing the trajectory estimation error in boost phase by using some typical dynamic characteristic parameters of the ballistic missile, an improved trajectory estimation algorithm in boost phase for two satellites detection is proposed. The thrust acceleration profile is constructed by the ballistic missile's dynamic characteristic parameters, then an accurate motion model of the missile in boost phase is established. According to the ballistic missile's motion characteristics in boost phase, the Cubature Kalman Filtering is introduced as the filtering algorithm. Simulation results show that, compared with the traditional trajectory estimation algorithm based on the CS model in boost phase, the estimation root mean square error of the proposed algorithm is reduced by about 50%, and the filtering stability is significantly improved.