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Adaptive Filtering Based on the Wavelet Transform for FOG on the Moving Base

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Advances in Intelligent Computing (ICIC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3644))

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Abstract

An novel adaptive filtering method based on the wavelet transform is presented for a fiber optical gyroscope (FOG) on the moving base. Considering the performance difference of a FOG in different angular velocity, threshold values of different scales of wavelet coefficients are adjusted according to magnitude of FOG output signal, soft thresholding method is used to evaluate the wavelet coefficients, so effects of random signal noise and non-line of calibration factors of a FOG are removed at the maximum extent, and sensitivity of a FOG can be ensured. Filtering results of actual FOG show the proposed method has fine dynamic filtering effect.

The work was supported by the southeast university excellent young teacher foundation (4022001002) and the national defense advanced research foundation ( 6922001019 ).

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Author information

Authors and Affiliations

  1. Department of Instrument Science and Engineering, Southeast University, Nanjing City, 210096, P.R. China

    Xiyuan Chen

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  1. Xiyuan Chen
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Editors and Affiliations

  1. Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences,, China

    De-Shuang Huang

  2. School of Computer & Information Technology, Beijing Jiaotong University, 100044, Beijing, P.R. China

    Xiao-Ping Zhang

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, P.O. Box, Singapore

    Guang-Bin Huang

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© 2005 Springer-Verlag Berlin Heidelberg

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Chen, X. (2005). Adaptive Filtering Based on the Wavelet Transform for FOG on the Moving Base. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3644. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538059_47

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  • DOI: https://doi.org/10.1007/11538059_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28226-6

  • Online ISBN: 978-3-540-31902-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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