NDLI: Research on initial alignment for large azimuth misalignment angle with Sage

Content Provider	IEEE Xplore Digital Library
Author	Cheng Zijian He Xiaofei Jiang Huan Li Dehui
Copyright Year	2013
Description	Author affiliation: Beijing Aerosp. Times Opt.-Electron. Technol. Co., Ltd., Beijing, China (Cheng Zijian; He Xiaofei; Jiang Huan; Li Dehui)
Abstract	The azimuth was often a large angle because navigation accuracy of fiber-optic inertial navigation system is not high, and the filtering equations of initial alignment are non-linear. In order to improve the initial alignment accuracy of nonlinear models, a improved Sage_Husa adaptive Kalman filtering method is put forward , and applied to initial alignment of fiber-optic inertial navigation system. This paper establishes initial alignment nonlinear model of large azimuth misalignment angle, contributes the system noise statistics estimators, and uses improved Sage_Husa adaptive Kalman filtering to simulate for nonlinear error equations. The simulation results show that the improved Sage_Husa adaptive Kalman filtering could deal with nonlinear problems, improve the accuracy of initial alignment. Azimuth misalignment angle error can converge 13.353', better than 48.539' of EKF.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	1744
Ending Page	1749
File Size	253430
Page Count	6
File Format	PDF
ISBN	9781467355339
e-ISBN	9781467355346
DOI	10.1109/CCDC.2013.6561214
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sage_Husa adaptive kalman filter Azimuth Noise Adaptive filters initial alignment Mathematical model Kalman filters nonlinear fiber-optic initial navigation system Equations
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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