NEW STEADY STATE KALMAN FILTER FOR TRACKING HIGH MANEUVERING TARGETS
Saeid Hosseini, Farokhi Mohammad · 2009
Abstract: This paper presents a new steady state Kaman filter for tracking high maneuvering targets. The a b- and the a b g-- filters are the steady-state Kaman filters for tracking constant speed and constant acceleration targets, respectively. However, these filters can not predict high maneuvering targets with good accuracy. The proposed filter is called a b g h--- filter. In this filter h is the gain of jerk for tracking of high maneuvering targets. Simulation results show good performance of the proposed filter as compared to a b g-- filter to track the jerky movements.