Simulation on Denoising Method for Fiber Optic Gyroscope Signal

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/icwcsn-16.2017.10
ID  - Sun2016/12
ER  -