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Proceedings Paper

Study on modeling and filtering of random drift on FOG
Author(s): Dong-jian Duan
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Paper Abstract

At present the precision of fiber optic gyroscope (FOG) is so lower that it is necessary to analyze the performance of FOG and set up its drift error model to raise the precision. There are many noise source in FOG, these noise sources and environment intrusion cause many random error terms, such as bias instability, angular random walk,rate random walk and rate ramp. It is impossible to adopt general analytical method (such as calculating mean and covariance) to confirm these random errors. Now, the precision of FOG made in our country is low and to improve it cost high and is difficulty. So this paper improve the system precision by software in the error modeling and filtering of the FOG random drift. Now, the main method to minish the FOG random drift is Kalman filter. In this paper,the FOG drift data is processed by Kalman filter,and the effect of filtering is analyzed. The simulation result show that Kalman filter can minish the FOG random drift more simply and more efficiently. Because the Kalman filter is based on the steady time series model of FOG random drift, in this paper, FOG random drift data is validated to be a non-stationary time series, so the unsteady sample of FOG drift needs statistical test and corresponding pretreatment using stochastic signal processing methods, and then the mathematical model is establishing by time series analysis theory. It is proved that the random noise can be represented by a single equivalent ARMA(auto-regressive moving average) or ARIMA model that is simple to implement. The data pretreatment is made, the model is identified,the method of using long autoregression method to estimate the coefficients are studied. In the end, experimental modeling of the FOG random drift is carried out, the random noise of FOG is processed by using Kalman filter. Experimental results demonstrate that the performance of the filter is feasible and the model can reject the random noise of FOG.

Paper Details

Date Published: 8 September 2011
PDF: 9 pages
Proc. SPIE 8191, International Symposium on Photoelectronic Detection and Imaging 2011: Sensor and Micromachined Optical Device Technologies, 81912G (8 September 2011); doi: 10.1117/12.903234
Show Author Affiliations
Dong-jian Duan, China Aerospace Science and Industry Corp. (China)

Published in SPIE Proceedings Vol. 8191:
International Symposium on Photoelectronic Detection and Imaging 2011: Sensor and Micromachined Optical Device Technologies
Yuelin Wang; Huikai Xie; Yufeng Jin, Editor(s)

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