Nonlinear Target Identification and Tracking Using UKF

In this paper, we implemented target identification al- gorithm using Dempster Shafer Theory (DST) and tracking algorithm using Extended Kalman Filter (EKF) and Un- scented Kalman Filter (UKF). A tracking filter is developed and simulated based on UKF to track nonlinear, ballistic and reentry targets. Comparison of EKF and UKF for non- linear targets tracking are presented based on the simula- tion results. Simulated results gives more supporting points to use UKF for nonlinear target tracking rather using EKF.