Modeling Study on Random Error of Fiber Optic Gyro

Abstract:

An accurate modeling method for the random error of the fiber optic gyro (FOG) is presented. Taking the FOG in the inertial measurement unit of one specific inertial navigation system as the subject investigated, the method is composed of the data acquisition, preprocessing, establishing the FOG AR(2) model and performing Kalman filtering based on the model. The filtering result and the Allan variance analysis of FOG prove that the method effectively reduces the FOG random error, decreasing the angle random walk, zero-bias instability, rate random walk, angular rate ramp and quantification noise of FOG signals to less than one half of the corresponding values before the filtering of FOG random errors, which improves the accuracy of FOG.

• Periodical: Applied Mechanics and Materials (Volumes 239-240)
• Pages: 167-171
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.239-240.167
• Online since: December 2012
• Authors: Fan Zhang*
• Keywords: Allan Variance Analysis, AR(2) Model, Fiber Optic Gyro, Kalman Filter (KF)

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