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Research of the Random Noise Compensation of MEMS Gyro

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System Simulation and Scientific Computing (ICSC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 327))

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Abstract

Feature of Unscented Kalman Filter( UKF ) is systematic analysed, and UKF is used in the compensation of MEMS Gyro random noise.Discussion the compensation of MEMS Gyro static random noise and dynamic random noise,The specific use of neural networks and Support Vector Machines in the compensation of MEMS Gyro random noise is proposed.Described in detail how MEMS Gyro random noise is compensated in the project.There is some defective when the time series used to build dynamic mathematical model of MEMS Gyro random noise,advantages and disadvantages of the compensation methodology of the MEMS Gyro random noise used by foreigner are pointed out.

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Author information

Authors and Affiliations

  1. Institute of Intelligence Control of BISTU, Beijing, 100101, China

    Xiaowen Wu & Qing Li

Authors
  1. Xiaowen Wu
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  2. Qing Li
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Editor information

Editors and Affiliations

  1. National CIMS Engineering Research Center, Department of Automation, Tsinghua University, 100084, Beijing, China

    Tianyuan Xiao

  2. School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, China

    Lin Zhang

  3. School of Mechatronics Engineering and Automation, Shanghai University, 200072, Shanghai, China

    Shiwei Ma

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© 2012 Springer-Verlag Berlin Heidelberg

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Wu, X., Li, Q. (2012). Research of the Random Noise Compensation of MEMS Gyro. In: Xiao, T., Zhang, L., Ma, S. (eds) System Simulation and Scientific Computing. ICSC 2012. Communications in Computer and Information Science, vol 327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34396-4_40

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  • DOI: https://doi.org/10.1007/978-3-642-34396-4_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34395-7

  • Online ISBN: 978-3-642-34396-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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