DocumentCode :
1867445
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
fYear :
2012
fDate :
3-5 March 2012
Firstpage :
1114
Lastpage :
1116
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;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
Type :
conf
DOI :
10.1049/cp.2012.1173
Filename :
6492780
Link To Document :
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