Title :
H infinity filter in maneuvering target tracking of military guidance field
Author :
Linyan Guo ; Chunlei Song ; Yuliang Mao
Author_Institution :
Beijing Institute of Technology, China, 100081
Abstract :
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.
Keywords :
EKF filter; H infinity filter; current model; maneuvering target tracking;
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
DOI :
10.1049/cp.2012.1173