Title :
The application of observability analysis in stationary base
Author :
Guo Ziwei ; Miao Lingjuan ; Shen Jun
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
Abstract :
The Kalman filter bases on stochastic conformance controllability and observability, and has been widely used in fine alignment of SINS stationary base. The observability analysis could guide the design of Kalman filter to improve the precision of the fine alignment. According to the state equation of the fine alignment stationary and the studies of predecessors, a specific engineering solution is proposed to study the observability of fine alignment in SINS stationary base.
Keywords :
Kalman filters; controllability; inertial navigation; observability; stochastic processes; Kalman filter; SINS stationary base; fine alignment; observability analysis; state equation; stationary base; stochastic conformance controllability; Automation; Educational institutions; Electronic mail; Kalman filters; Observability; Silicon compounds; Kalman filtering; Observability; Stationary base;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
