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Online Estimation of ARW Coefficient of Fiber Optic Gyro
Joint Authors
Li, Kailong
Qin, Fangjun
Li, Yang
Hu, Baiqing
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
As a standard method for noise analysis of fiber optic gyro (FOG), Allan variance has too large offline computational burden and data storages to be applied to online estimation.
To overcome the barriers, the state space model is firstly established for FOG.
Then the Sage-husa adaptive Kalman filter (SHAKF) is introduced in this field.
Through recursive calculation of measurement noise covariance matrix, SHAKF can avoid the storage of large amounts of history data.
However, the precision and stability of this method are still the primary matters that needed to be addressed.
Based on this point, a new online method for estimation of the coefficient of angular random walk is proposed.
In the method, estimator of measurement noise is constructed by the recursive form of Allan variance at the shortest sampling time.
Then the estimator is embedded into the SHAKF framework resulting in a new adaptive filter.
The estimations of measurement noise variance and Kalman filter are independent of each other in this method.
Therefore, it can address the problem of filtering divergence and precision degrading effectively.
Test results of both digital simulation and experimental data of FOG verify the validity and feasibility of the proposed method.
American Psychological Association (APA)
Li, Yang& Hu, Baiqing& Qin, Fangjun& Li, Kailong. 2014. Online Estimation of ARW Coefficient of Fiber Optic Gyro. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-497260
Modern Language Association (MLA)
Li, Yang…[et al.]. Online Estimation of ARW Coefficient of Fiber Optic Gyro. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-497260
American Medical Association (AMA)
Li, Yang& Hu, Baiqing& Qin, Fangjun& Li, Kailong. Online Estimation of ARW Coefficient of Fiber Optic Gyro. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-497260
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-497260