DocumentCode :
1873320
Title :
SINS/GPS integrated system state estimation based on covariance assignment
Author :
Shi, Hang ; Zhu, Jihong ; Tian, Haiyan
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
fYear :
2006
fDate :
19-21 Jan. 2006
Lastpage :
586
Abstract :
SINS and GPS are widely used. Combining SINS and GPS organically, we can get an reliable integrated navigating system which can overcome the respective defects of the two systems, including signal blockage for GPS and growth of position errors with time for SINS, and develop their advantages to form a complementary structure at the same time. On the basis of using the SINS/GPS integrated navigation system, we introduce the covariance assignment state estimation algorithm not only to enhance the navigational capability and accuracy, but also enhance the robustness of the navigation system
Keywords :
Global Positioning System; covariance analysis; inertial navigation; state estimation; Global Positioning System; covariance assignment; integrated system state estimation; strap-down inertial navigation system; Computer science; Covariance matrix; Global Positioning System; Jamming; Laboratories; Radio navigation; Sensor systems; Silicon compounds; Stability; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
Conference_Location :
Harbin
Print_ISBN :
0-7803-9395-3
Type :
conf
DOI :
10.1109/ISSCAA.2006.1627690
Filename :
1627690
Link To Document :
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