Simulation on Denoising Method for Fiber Optic Gyroscope Signal
Ping Sun, Zhi-Lu Zhang, Xiang-Jin Wang, Zhe Li
Available Online December 2016.
- https://doi.org/10.2991/icwcsn-16.2017.10How to use a DOI?
- FOG; hybrid kalman filter; denoising
- 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.
- 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 -