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Modeling Random Gyro Drift Rate by Data Dependent Systems

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2 Author(s)
Paniit, S.M. ; Michigan Technological University ; Wwibang Zhang

A new modeling procedure is presented in which a mathematical model for random gyro drift rate is obtained directly from the original observations without requiring any theoretical conjectures or preprocessing of the data. The adequate model so obtained confirms the presence of a random walk component causing the "steady state" drift and a stochastic component of the nature of correlated noise. It also provides a quantitative measure of the relative contribution of each component, useful in determining the quality of the gyro in guidance over extended periods.

Published in:

Aerospace and Electronic Systems, IEEE Transactions on  (Volume:AES-22 ,  Issue: 4 )