• Opto-Electronic Engineering
  • Vol. 46, Issue 9, 180636 (2019)
Li Guangyao1, Hou Honglu1、*, Du Juan2, and Li Yuan1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.12086/oee.2019.180636 Cite this Article
    Li Guangyao, Hou Honglu, Du Juan, Li Yuan. FOG temperature drift compensation method based on wavelet denoising and neural network[J]. Opto-Electronic Engineering, 2019, 46(9): 180636 Copy Citation Text show less
    References

    [1] National Defense Science, Technology and Industry Commission. Test methods for fiber optic gyroscope: GJB 2426A-2004[S]. Beijing: National Defense Science, Technology and Industry Commission, 2004: 1–16.

    [2] Han B, Lin Y R, Deng Z L. Overview on modeling and compensation of FOG temperature drift[J]. Journal of Chinese Inertial Technology, 2009, 17(2): 218–224.

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    [4] Feng K L, Li A, Qin F J, et al. Temperature error compensation method based on adaptive neuro fuzzy inference for fiber-optic gyro[J]. Acta Armamentarii, 2016, 37(4): 641–647.

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    [6] Guo S L, Xu J N, Li F, et al. Modeling and compensation algorithm of FOG temperature drift with optimized BP neural network[J]. Journal of Chinese Inertial Technology, 2016, 24(1): 93–97.

    [7] Liu W T, Liu J Y, Shen Q. Integrated modeling and filtering of fiber optic gyroscope's random errors[J]. Opto-Electronic Engineering, 2018, 45(10): 180082.

    [8] Gao W, Zu Y, Wang W, et al. Research on real-time de-noising of FOG based on second generation wavelet transform[J]. Chinese Journal of Scientific Instrument, 2012, 33(4): 774–780.

    [9] Huo J, Wang S J, Yang M, et al. Noise processing of FOG signal based on wavelet threshold-value[J]. Journal of Chinese Inertial Technology, 2008, 16(3): 343–347.

    [10] Gu C L, Lu J G, Wang Y Z, et al. Temperature compensation of fog based on GA-BP neural network[J]. Instrument Technique and Sensor, 2018(3): 113–116.

    [11] Kennedy J, Eberhart R C. Particle swarm optimization[C]//Proceedings of ICNN'95 - International Conference on Neural Networks, 1995: 1942–1948.

    [12] Hadeler T T, Montvale N J. Fiber optic gyro drift rate compensation based on temperature: US5416585[P]. 1995-05-16.

    Li Guangyao, Hou Honglu, Du Juan, Li Yuan. FOG temperature drift compensation method based on wavelet denoising and neural network[J]. Opto-Electronic Engineering, 2019, 46(9): 180636
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