H infinity filter in maneuvering target tracking of military guidance field

摘要

The EKF filter is an effective tool for estimating the states of a system. However, accurate system models are not as readily available for industrial problems such as the maneuvering target tracking. State estimators that can tolerate such uncertainty are called robust. The H infinity filter was specifically designed for robustness. In this paper, an improved filtering method combing the H infinity filter is proposed and implemented for maneuvering target tracking of military guidance field. The simulation results show that it yields better performance than EKF when the robust exists.