Modeling and analysis of fiber optic gyroscope random drifts

The precision level of fiber optic gyro is the key factor of inertial navigation system, and reducing the gyro random drifts is an important means to improve the precision. Building the model of gyroscope random drift and filtering it can effectively improve the output precision of fiber optic gyro and then improve the accuracy of inertial navigation system. In this paper, the ARAM model of fiber optic gyro random drifts was built through numerous experiments, in which the random drifts were effectively filtered. The filtering results were analyzed by Allan variance analysis. The result shows that the main error sources and the sinusoidal noise in fiber optic gyro output signal are reduced to about 50% of that before filtering, and the high frequency noise is effectively restrained. It is proved that the fiber gyro random drift model is effective and feasible. The visualization software was designed at the same time, makeing it valuable for engineering application.