Nonlinear Target Identification and Tracking Using UKF
Dilip Gopichand Khairnar, S. N. Merchant, U.B. Desai · 2007 IEEE International Conference on Granular Computing (GRC 2007) · 2007
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.