Abstract

An in-orbit experiment was launched to evaluate the performance of the spaceborne high precision fiber optic gyroscopes (FOG). The three-axis in-orbit data of the FOG were analyzed using wavelet analysis method. Features of low frequency period terms and glitch noise were demonstrated. In addition, a method to extract the random noise from the in-orbit data is proposed based on the first-order difference method and the Pauta criterion. In addition, the random walk coefficient (RWC) of the FOG was calculated with the Allan variance method. Compared the ground test results, the in-orbit performance evaluation of Spaceborne High Precision Fiber Optic Gyroscope was verified.

Highlights

  • With the increase of gyroscope space applications, people put forward higher requirements on the performance of the gyroscope

  • An in-orbit experiment was conducted to evaluate the performance of the spaceborne high-precision fiber optic gyroscopes

  • The results show that this method This method is effective under the of fiber optic gyroscope (FOG) data collected in orbit

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Summary

Introduction

With the increase of gyroscope space applications, people put forward higher requirements on the performance of the gyroscope. The fiber optic gyroscope (FOG) began to be used in space due to its high reliability, long life, small volume, high precision and no moving parts [4,5,6,7,8,9,10]. The FOG is the best choice for space applications at this stage. This makes it even more important to evaluate the performance of the FOG served in space mission. There are the intrinsic random noise and bias drift involved in FOG output data [11,12,13,14,15]. An extraction method developed to get the random noise, and the estimated RWC was calculated using the in-orbit data

In-Orbit Performance Evaluation Experiment Setup
PPerformance of
Analysis of In-Orbit
Allan variance curve of of the Y
Extraction of Random Noise
Method
FOG Performance Evaluation and Verification
20 RWC times in calculated
Conclusions

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