NEW STEADY STATE KALMAN FILTER FOR TRACKING HIGH MANEUVERING TARGETS

This paper presents a new steady state Kaman filter for tracking high maneuvering targets. The α β − and the α β γ − − 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 α β γ η − − − filter. In this filter η is the gain of jerk for tracking of high maneuvering targets. Simulation results show good performance of the proposed filter as compared to α β γ − − filter to track the jerky movements.