• Infrared and Laser Engineering
  • Vol. 47, Issue 5, 522003 (2018)
Wu Junwei1、2、*, Miao Lingjuan1, Li Fusheng2, and Shen Jun1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/irla201847.0522003 Cite this Article
    Wu Junwei, Miao Lingjuan, Li Fusheng, Shen Jun. Compensation method of FOG temperature drift with improved support vector machine[J]. Infrared and Laser Engineering, 2018, 47(5): 522003 Copy Citation Text show less
    References

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    [2] Shupe D M. Thermally induced nonreciprocity in the fiber-optic interferometer[J]. Applied Optics, 1980, 19(5): 654-655.

    [3] Wang Wei, Yang Qingsheng, Wang Xuefeng. Application of fiber-optic gyro in space and key technology[J]. Infrared and Laser Engineering, 2006, 35(5): 509-512. (in Chinese)

    [4] Jin Jing, Li Min, Zang Zhonggang, et al. Analysis of temperature errors in digital closed-loop fiber optic gyroscope[J]. Infrared and Laser Engineering, 2008, 37(3): 521-524. (in Chinese)

    [5] Fan Chunling, Jin Zhihua, Tian Weifeng, et al. Temperature drift modelling of fibre optic gyroscopes based on a grey radial basis function neural network[J]. Measurement Science and Technology, 2004, 15(1): 119-126.

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    [7] Cheng Junchao, Fang Jiancheng, Wu Weiren, et al. Modeling and compensation method for temperature error of laser gyroscope based on support vector machine[J]. Chinese Journal of Scientific Instrument, 2013, 34(4): 721-727. (in Chinese)

    [8] Zhuo Chao, Du Jianbang. A highly adaptive compensation method for nonlinear thermal bias error of fiber-optic gyroscopes[J]. Journal of Astronautics, 2017, 38(10): 1079-1087. (in Chinese)

    [9] Feng Kali, Li An, Qin Fangjun. Temperature error compensation method for FOG based on multi-model piecewise fitting[J]. Journal of Chinese Inertial Technology, 2014, 22(6): 825-828. (in Chinese)

    [10] Zha Feng, Xu Jiangning, Li Jingshu, et al. IUKF neural network modeling for FOG temperature drift[J]. Journal of Systems Engineering and Electronics, 2013, 24(5): 838-844.

    [11] Liu Yuanyuan, Yang Gongliu, Li Siyi. Application of BP-AdaBoost model in temperature compensation for fiber optic gyroscope bias[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(2): 235-239. (in Chinese)

    [12] Zhang Pengfei, Long Xingwu. Analysis on temperature characteristic of mechanically dithered RLG′s bias with a method of stepwise regression[J]. Optical Technique, 2006, 32(5): 738-740. (in Chinese)

    [13] Cortes C, Vapnik V. Support-vector networks[J]. Machine Learning, 1995, 20(3): 273-297.

    [14] Li Xiaolei, Shao Zhijiang, Qian Jixin. An optimizing method based on autonomous animats: fish-swarm algorithm[J]. Systems Engineering-Theory & Practice, 2002, 22(11): 32-38. (in Chinese)

    Wu Junwei, Miao Lingjuan, Li Fusheng, Shen Jun. Compensation method of FOG temperature drift with improved support vector machine[J]. Infrared and Laser Engineering, 2018, 47(5): 522003
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