The Tracking Algorithm of Reentry Ballistic Target
Yue Guo · Journal of Information and Computational Science · 2014
By analyzing the force of the ballistic reentry ∞ight, the three-dimensional motion model of ballistic missile has been constructed without ballistic coe‐cient. Because the aerodynamics force is complex in reentry trajectory, the estimation of aerodynamic force can convert to the estimation of ballistic coe‐cient. Extended Kalman Filter, Unscented Kalman Filter and Unscented Particle Filter have been used to design tracking algorithm of re-entry ballistic target. The results of the simulation verify that the motion model of the reentry ∞ight segment is correct. Advantages and disadvantages of difierent algorithms also have been analyzed. On tracking target of reentry ballistic missile, the extended Kalman fllter has poor stability and easily dissipates. The unscented particle fllter algorithm has large computation and slow convergence, but the adaptability, stability and accuracy in the ∞icker noise condition are better than UKF and EKF. The Unscented Kalman Filter is a compromise algorithm which has moderate amount of computation and accuracy.