Analytic Method for Estimating Aircraft Fix Displacement from Gyroscope's Allan-Deviation Parameters
Jonathan. M. Wheeler, Jacob N. Chamoun, Vinayak Dangui, and Michel J., F. Digonnet

TL;DR
This paper derives simple analytical formulas to estimate aircraft fix displacement errors based on gyroscope Allan deviation parameters, validated through simulations, aiding in gyroscope performance assessment for navigation systems.
Contribution
It introduces a straightforward analytical model linking gyroscope noise and drift to aircraft position errors, highlighting the importance of the Allan deviation maximum as a drift metric.
Findings
Analytical expressions accurately predict fix displacement errors.
Validation confirms the model's effectiveness with Monte-Carlo simulations.
Using the Allan deviation maximum is essential for proper drift assessment.
Abstract
The noise and drift requirements for a navigation-grade gyroscope are widely known, yet there is no simple analytic model of how the noise and drift of a gyroscope influence the fix displacement error (FDE) of an inertial navigation system (INS). This work derives simple analytical expressions for the cross-track and along-track errors of an aircraft whose INS consists solely of a three-axis gyroscope system with perfect knowledge of the vertical direction. The error signal of each gyroscope is Gaussian white noise and drift modeled as a first-order Markov random walk. These expressions provide a straightforward mean of calculating the FDE of an aircraft as a function of the flight duration, velocity, noise amplitude, drift amplitude, and drift's time constant. These expressions are validated with Monte-Carlo simulations of long flights. This model quantifies the noise-versus-drift…
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Taxonomy
TopicsAir Traffic Management and Optimization · Inertial Sensor and Navigation · GNSS positioning and interference
