Optics and Precision Engineering, Volume. 16, Issue 2, 235(2008)

Temperature error compensation for digital closed-loop fiber optic gyroscope based on RBF neural network

[in Chinese], [in Chinese], [in Chinese], [in Chinese], and [in Chinese]
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    [1] [1] BURNS W K.Optical Fiber Rotation Sensing[M].San Diego:Academic Press Inc,1993.

    [2] [2] PAVLATH G A.Challenges in the development of the IFOG[C].AIAA Guidance,Navigation,and Control Conference,Austin,Texas:AIAA,2003:11-14.

    [5] [5] BIAN H W,JIN ZH H,TIAN W F.A projection pursuit learning network for modeling temperature drift of FOG[C].Neural Networks & Signal Processing Conference,Nanjing,P.R China:IEEE,2003:87-90.

    [6] [6] CHEN X Y.Modeling random gyro drift by time series neural networks and by traditional method[C].Neural Networks & Signal Processing Conference,Nanjing,P.R China:IEEE,2003:810-813.

    [8] [8] HAM F M,KOSTANIC I.Principles of Neurocomputing for Science & Engineering[M].USA:McGraw-Hill Companies,Inc,2001:71-106.

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    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Temperature error compensation for digital closed-loop fiber optic gyroscope based on RBF neural network[J]. Optics and Precision Engineering, 2008, 16(2): 235

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    Paper Information

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    Received: Aug. 27, 2007

    Accepted: --

    Published Online: Jul. 8, 2008

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