OSA's Digital Library

Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 51, Iss. 17 — Jun. 10, 2012
  • pp: 3755–3762

Study on error calibration of fiber optic gyroscope under intense ambient temperature variation

Xiyuan Chen and Chong Shen  »View Author Affiliations

Applied Optics, Vol. 51, Issue 17, pp. 3755-3762 (2012)

View Full Text Article

Enhanced HTML    Acrobat PDF (1050 KB)

Browse Journals / Lookup Meetings

Browse by Journal and Year


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools



A novel adaptive forward linear prediction (FLP) denoising algorithm and a temperature drift modeling and compensation concept based on ambient temperature change rate for fiber-optic gyroscope (FOG) are presented to calibrate the errors caused by intense ambient temperature variation. The intense ambient temperature variation will bring large temperature errors, which will degrade the performance of FOG. To analyze the temperature variation, characteristics of FOG temperature experiments are developed at first. Then the adaptive FLP denoising algorithm is employed to eliminate the noise aiming at reducing noise interference. After that, a simple modeling concept of building the compensation model between temperature drift and ambient temperature change rate is first to be given (we have not found a report of better results in any literature). The semiphysical simulation results show that the proposed method significantly reduces the noise and drift caused by intense ambient temperature variation.

© 2012 Optical Society of America

OCIS Codes
(070.4340) Fourier optics and signal processing : Nonlinear optical signal processing
(230.0230) Optical devices : Optical devices

ToC Category:
Optical Devices

Original Manuscript: March 6, 2012
Revised Manuscript: April 18, 2012
Manuscript Accepted: April 18, 2012
Published: June 4, 2012

Xiyuan Chen and Chong Shen, "Study on error calibration of fiber optic gyroscope under intense ambient temperature variation," Appl. Opt. 51, 3755-3762 (2012)

Sort:  Author  |  Year  |  Journal  |  Reset  


  1. D. M. Shupe, “Thermally induced nonreciprocity in the fiber-optic interferometer,” Appl. Opt. 19, 654–655 (1980). [CrossRef]
  2. C. M. Lofts, P. B. Ruffin, M. Parker, and C. C. Sung, “Investigation of the effects of temporal thermal gradients in fiber optic gyroscope sensing coils,” Opt. Eng. 34, 2856–2863 (1995). [CrossRef]
  3. J. Sawyer, P. B. Ruffin, and C. C. Sung, “Investigation of the effects of temporal thermal gradients in fiber optic gyroscope sensing coils, part 2,” Opt. Eng. 36, 29–34 (1997). [CrossRef]
  4. F. Mohr, “Thermooptically induced bias drift in fiber optical Sagnac interferometers,” J. Lightwave Technol. 14, 27–41 (1996). [CrossRef]
  5. S. Blin, H. K. Kim, M. J. F. Digonnet, and G. S. Kino, “Reduced thermal sensitivity of a fiber-optic gyroscope using an air-core photonic-bandgap fiber,” J. Lightwave Technol. 25, 861–865 (2007). [CrossRef]
  6. Y. S. Zhang, Y. Y. Wang, T. Yang, R. Yin, and J. C. Fang, “Dynamic angular velocity modeling and error compensation of one-fiber fiber optic gyroscope (OFFOG) in the whole temperature range,” Meas. Sci. Technol. 23, 1–6 (2012).
  7. R. Zhu, Y. H. Zhang, and Q. L. Bao, “A novel intelligent strategy for improving measurement precision of FOG,” IEEE Trans. Instrum. Meas. 49, 1183–1188 (2000). [CrossRef]
  8. X. Y. Li, C. Zhang, Z. He, and Z. Zhong, “Temperature errors of IFOG and its compensation in engineering application,” in The 9th International Conference on Electronic Measurement and Instruments (IEEE, 2009), pp. 230–234.
  9. A. Noureldin, D. Halliday, H. Tabler, and M. P. Mintchev, “New technique for reducing the angle random walk at the output of fiber optic gyroscopes during alignment processes of inertial navigation systems,” Opt. Eng. 40, 2097–2106 (2001). [CrossRef]
  10. D. Han, C. Xiong, and H. Liu, “A wavelet-based method for processing signal of FOG in strapdown inertial systems,” Int. J. Robot. Autom. 24, 185–193 (2009). [CrossRef]
  11. H. M. Qian and J. C. Ma, “Research on fiber optic gyro signal de-noising based on wavelet packet soft-threshold,” J. Syst. Eng. Electron. 20, 607–612 (2009).
  12. X. D Luo, Z. H. Jia, and Q. Wang, “A new variable step size LMS adaptive filtering algorithm,” Acta Electron. Sin. 34, 1123–1126 (2006) (In Chinese).
  13. I. Daubechies, “The wavelet transform, time-frequency localization and signal analysis,” IEEE Trans. Inf. Theory 36, 961–1005 (1990). [CrossRef]
  14. Y. H. Tang, S. Solve, and T. J. Witt, “Allan variance analysis of Josephson voltage standard comparison for data taken at unequal time intervals,” IEEE Trans. Instrum. Meas. 60, 2248–2254 (2011). [CrossRef]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited