Gyro Modeling and Estimation of Its Random Noise Sources

Abstract

The objective of this paper is twofold: (1) present a unit scaling based approach to model gyro random noise sources and (2) design and develop a groundbased software tool to extract the gyro random noise sources in terms of the statistical one sigma value of each noise source using both gyro rate and gyro angle data. The proposed approach is developed using two different techniques, Power Spectral Density (PSD) and Allan Variance. The proposed solution is implemented using Matlab/Simulink, and its performance is validated using high fidelity simulation data. Final tools will be designed for telemetry data processing in support of the GOES Program Office during the Post Launch Test (PLT) period. These tools will be used to characterize the on-orbit gyro noise performance and capture its state of health so that the GOES star tracker/gyro-based attitude determination system performance can be maintained or enhanced via the latest knowledge of gyro random noise sources.