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

fYear

2008

fDate

10-12 Oct. 2008

Firstpage

827

Lastpage

830

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ASC-ICSC.2008.4675476

Filename

4675476