Tracking a ballistic target with unscented iterative Kalman filter
Shuchun Zhang, Sihua Liu, Guang‐Da Hu · 2005
Tracking a ballistic object in the reentry phase by processing radar measurements has attracted much attention of researchers, to make the estimations more accurate, the idea of iteration is often used in the process of updating which has no relationship with dynamics of the system. In this paper a new iterative method using unscented transform (UT) named UIKF is presented, the simulation results demonstrate its effectiveness.