Maneuvering target tracking using real-time input estimation

Abstract

A modified input estimation approach for tracking maneuvering targets is developed. The equation of increment of acceleration is described as a first order autoaggressive process. The increment of acceleration is estimated in real time by the residual of a standard Kalman filter and then is used to modified the target states. The simulation results for this approach show that it has a good tracking property for abrupt and high maneuvering targets. This method has been successfully applied to multi-target tracking in a clutter environment.