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High-quality Fiber Optic Gyro (FOG) error modeling
involves combining deterministic (scale factor, bias, temperature) and stochastic (noise) models to enhance navigation precision
. Key methods include Allan Variance for characterization, AR/ARMA models for time-series modeling, Kalman filtering for real-time drift reduction, and neural networks (e.g., RBF) for nonlinear temperature compensation.
Key Aspects of High-Quality FOG Error Modeling
-
Stochastic Error Modeling:
- Allan Variance Analysis : Crucial for identifying individual noise components, including Angle Random Walk (ARW), bias instability, and rate ramp.
- Time Series Analysis (ARMA/AR): Used to fit the random drift and predict future noise behaviors, effectively reducing random errors.
- Stochastic Simulation : Combining Gaussian white noise with first-order Markov processes to simulate long-term stability.
-
Deterministic and Thermal Modeling:
- Temperature Drift Compensation: Utilizing Radial Basis Function (RBF) neural networks or polynomial fitting, based on input voltage and temperature, to reduce non-linear errors.
- Fiber Coil Modeling : Advanced 3D modeling of the fiber coil using Finite Element (FE) methods to analyze dynamic structural behavior and temperature-induced strain.
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Advanced Error Suppression Techniques:
- Improved Kalman Filter: Adaptive Kalman filtering techniques, such as Dual Strong Tracking Kalman Filter (DSTKF), are used to mitigate random errors under dynamic temperature conditions.
- Signal Processing: Utilizing Wavelet Transforms (WT) or Empirical Mode Decomposition (EMD) to decompose and reconstruct the signal, separating noise from true motion data.
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Simulation and Validation:
- Data-Driven Models: Using Allan Variance, power spectral density (PSD), and neural networks to build models based on real-world, high-stability FOG data.
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Environmental Testing:
Validating models under varying temperatures and vibration, such as analyzing the performance with a temperature change rate of
.
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Application Areas:
- High-accuracy FOGs are modeled for inertial navigation systems (SINS) in UAVs, UGVs, and satellites to ensure high-performance, low-noise operation.
- This study suggests using FOGs for Universal Time (UT1) measurement, requiring specialized modeling for very low drift over long durations.
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A New Open-Loop Fiber Optic Gyro Error Compensation ... - NIHAbstract. With the open-loop fiber optic gyro (OFOG) model, output voltage and angular velocity can effectively compensate OFOG er...National Institutes of Health (NIH) | (.gov)
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Fiber Optic Gyroscope Random Error Modeling Based on Improved ...Fiber Optic Gyroscope Random Error Modeling Based on Improved Kalman Filtering. ... A modeling method based on time series autoreg...ACM Digital Library
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Fiber Optic Gyro Random Error Suppression Based on Dual ... - PMC1. Introduction * The fiber-optic gyroscope (FOG) serves as the core sensing element in strapdown inertial navigation systems (SIN...National Institutes of Health (NIH) | (.gov)
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Error Modeling of Fiber Optic Gyroscope Universal Time ...
MDPI
https://www.mdpi.com
› ...
MDPI
https://www.mdpi.com
› ...
by Z Wang
2024
—
In this paper, the errors caused by various physical factors and mechanisms are analyzed in detail, with precession and nutation errors being taken into ...
Read more
A New Open-Loop Fiber Optic Gyro Error Compensation ...
National Institutes of Health (NIH) | (.gov)
https://pmc.ncbi.nlm.nih.gov
› articles › PMC4435201
National Institutes of Health (NIH) | (.gov)
https://pmc.ncbi.nlm.nih.gov
› articles › PMC4435201
by Y Zhang
2015
Cited by 19
—
Abstract. With the open-loop fiber optic gyro (OFOG) model,
output voltage and angular velocity can effectively compensate OFOG errors
.
Read more
An Optical Signal Processing Model for the Interferometric ...
RAND
https://www.rand.org
› pubs › MR482.1.pdf
RAND
https://www.rand.org
› pubs › MR482.1.pdf
PDF
by AO Signal
1995
—
This report presents a mathematical
model
for analyzing the
optical
signal processing employed by closed-loop interferometric
fiber
op- tic
gyroscopes
(IFOG) ...
Read more
78 pages
A high-precision online compensation method for random ...
ScienceDirect.com
https://www.sciencedirect.com
› article › abs › pii
ScienceDirect.com
https://www.sciencedirect.com
› article › abs › pii
by K Lu
2023
Cited by 7
—
The errors of
optical gyroscope
are divided into systematic errors and random errors. Systematic errors mainly include zero bias, scale factor ...
Read more
Temperature drift compensation method for fiber optic ...
Ericco Inertial Technology
https://www.ericcointernational.com
› application › ana...
Ericco Inertial Technology
https://www.ericcointernational.com
› application › ana...
Jan 19, 2024
—
In order to establish a
high
-precision bias
error
compensation
model
, this article will discretize the
optical fiber
ring in units of turns.
Read more
(820)
A laser-driven fiber-optic gyroscope for inertial guidance of ...
Stanford University
https://purl.stanford.edu
› ...
Stanford University
https://purl.stanford.edu
› ...
In this thesis, we develop a new analytical
model
that derives the
error
in an aircraft's position from a
gyroscope's
known noise and drift, inferred from a ...
Read more
Design and Development of Fiber Optic Gyroscopes | (2019)
SPIE, the international society for optics and photonics
https://spie.org
› Publications › Book
SPIE, the international society for optics and photonics
https://spie.org
› Publications › Book
Jul 31, 2019
—
In a
fiber optic gyro
, the configuration and packaging of the fiber coil is particularly important to reduce the errors induced by temperature ...
Read more
$65.45
Calibration method for misalignment angles of a fiber optic ...
Optica Publishing Group
https://opg.optica.org
› abstract
Optica Publishing Group
https://opg.optica.org
› abstract
by J Ban
2022
Cited by 8
—
This paper proposes a calibration method based on fine alignment algorithm to calibrate the
gyroscopes
' misalignment angles. Its accuracy is proven by ...
Read more
Modeling and Analysis of Fiber Optic gyroscope Random ...
ResearchGate
https://www.researchgate.net
› publication › 28716447...
ResearchGate
https://www.researchgate.net
› publication › 28716447...
Aug 9, 2025
—
Building the
model
of gyroscope random drift and filtering it can effectively improve the output precision of
fiber optic gyro
and then improve ...
Read more
Fiber Optic Gyroscopes | FOG Senors | FOG IMUs for UAV ...
Unmanned Systems Technology
https://www.unmannedsystemstechnology.com
› mostat...
Unmanned Systems Technology
https://www.unmannedsystemstechnology.com
› mostat...
Fiber Optic Gyros
manufacturer MostaTech supplies miniature
Fiber Optic Gyroscopes
,
high
-accuracy FOG sensors & rugged FOG IMUs for UAV & robotics.