Title :
Study on Kalman filtering for noise filtration in INS
Author :
Zhang, Xia ; Kang, Chunpeng
Author_Institution :
Sch. of Autom., Beijing Inf. Sci. & Technol. Univ. China, Beijing
Abstract :
In Integrated Navigation System, the performance of Fibre Optics Gyroscope (FOG) has great influence to Inertia System. To increase the precision of FOG, the methods of filtering are used frequently. Kalman filter is the one which has already been quite practiced. It adopts the recursion method with a high speed in time domain, and it is convenient for real-time processing in Matlab, which offers the control system toolbox to realize the Kalman fiter. The Allan variance estimation is designed to analyze the sampling output data of three axle angular speed measuring instrument THY C500.
Keywords :
Kalman filters; fibre optic gyroscopes; mathematics computing; Allan variance estimation; Kalman filtering; Matlab; control system toolbox; fibre optics gyroscope; integrated navigation system; noise filtration; recursion method; Control systems; Fiber optics; Filtering; Filtration; Gyroscopes; Kalman filters; Navigation; Optical fiber filters; Optical noise; Real time systems;
Conference_Titel :
System Simulation and Scientific Computing, 2008. ICSC 2008. Asia Simulation Conference - 7th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1786-5
Electronic_ISBN :
978-1-4244-1787-2
DOI :
10.1109/ASC-ICSC.2008.4675476
