Title :
A integrated navigation algorithm based on distributed Kalman filter
Author :
Yonggang Zhang;Yuanfang Dang;Ning Li;Yulong Huang
Author_Institution :
Department of Automation, University of Harbin Engineering, Heilongjiang Province, China
Abstract :
A navigation algorithm based on the distributed Kalman filtering is proposed in this paper. Compared with the algorithm that based on the centralized Kalman filtering, the proposed method can overcome a lot of shortcomings of the integrated navigation algorithm based on centralized Kalman filtering with similar navigation accuracy. Illustrative simulation is also provided to show the efficiency of the proposed method.
Keywords :
"Kalman filters","Sensors","Mathematical model","Inertial navigation","Algorithm design and analysis"
Conference_Titel :
Information and Automation, 2015 IEEE International Conference on
DOI :
10.1109/ICInfA.2015.7279640