• DocumentCode
    1794862
  • Title

    Application of correlation detection in rotation-modulation north-seeking based on MEMS gyroscope

  • Author

    Zhang Chenghao ; Chen Jiabin ; Xu Jianhua ; Song Chunlei

  • Author_Institution
    Sch. of Autom., Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    441
  • Lastpage
    445
  • Abstract
    MEMS gyroscope has been recently the hotspot in inertial measurements applications, because of its advantage of low costs, micro size, and low power consumption, etc. But it is considered that MEMS gyroscope cannot be used in north-seeking because of its drift and noise. This paper has proposed a feasible rotation-modulation north-seeking method, in which correlation analysis is used to detect the modulated wave phase to give the relative direction to true north. Self-correlation detection, cross-correlation detection and Least Squares are presented in detail consisting of the systemic correlation detection approach. With the help of correlation detection, experimental results show that the rotation-modulation north-seeking method proposed in this paper gives impressive precision of north-seeking.
  • Keywords
    correlation methods; gyroscopes; least squares approximations; microsensors; phase modulation; MEMS gyroscope; cross-correlation detection analysis; inertial measurement application; least squares algorithm; power consumption; rotation-modulation north-seeking method; self-correlation detection analysis; systemic correlation detection approach; wave phase modulation; Correlation; Earth; Frequency modulation; Gyroscopes; Micromechanical devices; Noise; Correlation Detection; Least-square Method; MEMS Gyroscope; Rotation-Modulation North-seeking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007265
  • Filename
    7007265