DocumentCode :
550401
Title :
A new method of adaptive information fusion for integrated navigation system
Author :
Liang Yong ; Li Ruitao ; Zhang Youan ; Chen Likui
Author_Institution :
Dept. of Control Eng., NAAU, Yantai, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
3040
Lastpage :
3043
Abstract :
To solve shortcomings of federal Kalman filter from calculating inverse matrix of the error variance matrix, a new fusion algorithm based on trace of error variance matrix is presented. Theoretic analysis and simulation results demonstrate that the method is an effective solution to the shortcomings and improves real-time performance and fault tolerant of integrated navigation system.
Keywords :
Kalman filters; fault tolerance; matrix algebra; navigation; sensor fusion; adaptive information fusion; error variance matrix; fault tolerant; federal Kalman filter; integrated navigation system; inverse matrix; Adaptive filters; Adaptive systems; Fault tolerance; Fault tolerant systems; Kalman filters; Laboratories; Navigation; Adaptive Filter; Integrated Navigation System; Trace; Variance Matrix;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6000739
Link To Document :
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