Tracking an incoming ballistic missile using an extended interval Kalman filter
George M. Siouris, Guanrong Chen, Jianrong Wang · IEEE Transactions on Aerospace and Electronic Systems · 1997
The important tracking problem by radar of an incoming ballistic missile system, which contains uncertainty in modeling and noise in both dynamics and measurements, is studied. The classical extended Kalman filter (EKF) is no longer applicable to such an uncertain system, and so a new extended interval Kalman filter (EIKF) is developed for tracking the missile system. Computer simulation is presented to show the effectiveness of the EIKF algorithm for this uncertain and nonlinear ballistic missile tracking problem.