DocumentCode :
2259457
Title :
Constrained navigation algorithms for strapdown inertial navigation systems with reduced set of sensors
Author :
Brandt, Aleksandr ; Gardner, John F.
Author_Institution :
Allied Signal Defence & Space Syst., Teterboro, NJ, USA
Volume :
3
fYear :
1998
fDate :
21-26 Jun 1998
Firstpage :
1848
Abstract :
This paper develops a family of algorithms for low-cost strapdown inertial navigation system for land vehicles. Constraints on the motion of land vehicles are defined. They include constraints on vehicle´s orientation relative to the Earth surface, and relationship between vehicle´s attitude and its velocity direction. Navigation equations are derived that assume validity of these constraints on the vehicle´s motion. Compared to standard strapdown inertial navigation, these algorithms reduce navigation errors in the presence of relatively high instrument noise, and at the same reduce number of required inertial sensors. Navigation errors are analyzed and used in an error model for the Kalman filter. Derived algorithms are applied to processing of experimental data
Keywords :
Kalman filters; attitude control; error analysis; inertial navigation; road vehicles; sensors; traffic control; Kalman filter; attitude control; error analysis; error model; orientation; reduced sensor set; road vehicles; strapdown inertial navigation; velocity direction; Acceleration; Accelerometers; Costs; Dead reckoning; Global Positioning System; Gyroscopes; Inertial navigation; Instruments; Land vehicles; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
ISSN :
0743-1619
Print_ISBN :
0-7803-4530-4
Type :
conf
DOI :
10.1109/ACC.1998.707337
Filename :
707337
Link To Document :
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