Estimation of Launch and Impact Points of a Flight Trajectory using U-D Kalman Filter/Smoother

The launch and impact points of a flight trajectory are estimated using U-D Kalman filter and Rauch-Tung-Striebel (R-T-S) smoother. Algorithms are implemented in PC MATLAB and validated using simulated data. The filter performance is evaluated in terms of state error, innovation sequence, and autocorrelation of residuals along with their theoretical bounds. The R-T-S smoother was found to generate accurate state estimates, which led to better launch point estimation. Launch and impact point prediction from real data of a guided target in ballistic mode is also evaluated.