Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

Simulation on Denoising Method for Fiber Optic Gyroscope Signal

Authors
Ping Sun, Zhi-Lu Zhang, Xiang-Jin Wang, Zhe Li
Corresponding Author
Ping Sun
Available Online December 2016.
DOI
https://doi.org/10.2991/icwcsn-16.2017.10How to use a DOI?
Keywords
FOG; hybrid kalman filter; denoising
Abstract
Fiber Optics Gyroscopes (FOGs) are widely used due to their low cost. This paper proposes a simulation on denoising method for FOG signal. Hybrid Kalman filter algorithm are applied to denoise the FOG signal in both static and dynamic conditions. Single axis and three axis FOG signals with different angular rates are used in the simulations. Adaptive moving average technique is used to detect the discontinuities in order to select proper Kalman filter gain parameters. The performance is validated by Allan variance analysis and compared with single KF filter. Results show that the amplitudes of rate random walk noise are reduced by 10 times.
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Proceedings
3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.10How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ping Sun
AU  - Zhi-Lu Zhang
AU  - Xiang-Jin Wang
AU  - Zhe Li
PY  - 2016/12
DA  - 2016/12
TI  - Simulation on Denoising Method for Fiber Optic Gyroscope Signal
BT  - 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 42
EP  - 44
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.10
DO  - https://doi.org/10.2991/icwcsn-16.2017.10
ID  - Sun2016/12
ER  -