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Fiber Optic Gyro Random Error Suppression Based on Dual Adaptive Kalman Filter
 
 
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Micromachines
Volume 16
Issue 8
10.3390/mi16080963
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

A Suppression Method for Random Errors of IFOG Based on the Decoupling of Colored Noise-Spectrum Information

by
Zhe Liang
1,
Zhili Zhang
1,*,
Zhaofa Zhou
1,
Hongcai Li
1,
Junyang Zhao
1,
Longjie Tian
2 and
Hui Duan
1
1
Intelligent Control Laboratory, PLA Rocket Force University of Engineering, Xi’an 710025, China
2
Institute of Optics and Electronics, School of Instrumentation Science and Optoelectronics, Engineering, Beihang University, Beijing 100191, China
*
Author to whom correspondence should be addressed.
Micromachines 2025, 16(8), 963; https://doi.org/10.3390/mi16080963
Submission received: 11 July 2025 / Revised: 19 August 2025 / Accepted: 20 August 2025 / Published: 21 August 2025
(This article belongs to the Special Issue Integrated Photonics and Optoelectronics, 2nd Edition)
Versions Notes

Abstract

In high-precision inertial navigation systems, suppressing the random errors of a fiber-optic gyroscope is of great importance. However, the traditional rule-based autoregressive moving average modeling method, when applied in Kalman filtering considering colored noise, presents inherent disadvantages in principle, including inaccurate state equations and difficulties in state dimension expansion. To this end, the noise characteristics in the fiber-optic gyroscope signal are first deeply analyzed, a random error model form is clarified, and a new model-order determination criterion is proposed to achieve the high-precision modeling of random errors. Then, based on the effective suppression of the angle random walk error of the fiber-optic gyroscope, and combined with the linear system equation of its colored noise, an adaptive Kalman filter based on noise-spectrum information decoupling is designed. This breaks through the principled limitations of traditional methods in suppressing colored noise and provides a scheme for modeling and suppressing fiber-optic gyroscope random errors under static conditions. Experimental results show that, compared with existing methods, the initial alignment accuracy of the proposed method based on 5 min data of fiber-strapdown inertial navigation is improved by an average of 48%.
Keywords: initial alignment; fiber-optic gyroscope; strapdown inertial navigation system; random error; time series model; spectral decoupling; adaptive Kalman filtering initial alignment; fiber-optic gyroscope; strapdown inertial navigation system; random error; time series model; spectral decoupling; adaptive Kalman filtering

Share and Cite

MDPI and ACS Style

Liang, Z.; Zhang, Z.; Zhou, Z.; Li, H.; Zhao, J.; Tian, L.; Duan, H. A Suppression Method for Random Errors of IFOG Based on the Decoupling of Colored Noise-Spectrum Information. Micromachines 2025, 16, 963. https://doi.org/10.3390/mi16080963

AMA Style

Liang Z, Zhang Z, Zhou Z, Li H, Zhao J, Tian L, Duan H. A Suppression Method for Random Errors of IFOG Based on the Decoupling of Colored Noise-Spectrum Information. Micromachines. 2025; 16(8):963. https://doi.org/10.3390/mi16080963

Chicago/Turabian Style

Liang, Zhe, Zhili Zhang, Zhaofa Zhou, Hongcai Li, Junyang Zhao, Longjie Tian, and Hui Duan. 2025. "A Suppression Method for Random Errors of IFOG Based on the Decoupling of Colored Noise-Spectrum Information" Micromachines 16, no. 8: 963. https://doi.org/10.3390/mi16080963

APA Style

Liang, Z., Zhang, Z., Zhou, Z., Li, H., Zhao, J., Tian, L., & Duan, H. (2025). A Suppression Method for Random Errors of IFOG Based on the Decoupling of Colored Noise-Spectrum Information. Micromachines, 16(8), 963. https://doi.org/10.3390/mi16080963

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