• DocumentCode
    1794981
  • Title

    Research of polarization sensor and MEMS integrated navigation system technology

  • Author

    Liu Kai ; Li Leilei ; Chen Jiabin ; Liu Huiya

  • Author_Institution
    Sch. of Autom., Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    895
  • Lastpage
    899
  • Abstract
    MEMS have been the hotspot in inertial measurements applications recently, due to their advantages of low-cost, high reliability, micro size, etc. But MEMS cannot be used in initial alignment alone because of its drift and noise. Since polarization navigation sensor´s errors are not divergent, it can restrain divergence if polarization navigation sensor and MEMS become integrated navigation system. This paper verifies that the data of polarization navigation sensor are not divergent, and use the yaw angle provided by polarization navigation sensor to accomplish initial alignment. The results also show that polarization navigation sensor can restrain drift generated by MEMS. Finally, the drift of velocity can be effectively suppressed through the compensation of kalman filter.
  • Keywords
    Kalman filters; compensation; inertial navigation; microsensors; polarisation; reliability; Kalman filter; MEMS integrated navigation system technology; compensation; inertial measurement; polarization navigation sensor error; reliability; Accelerometers; Gyroscopes; Kalman filters; Low-pass filters; Mathematical model; Micromechanical devices; Navigation; IIR Low-pass Filter; Initial Alignment; Kalman Filter; MEMS; Polarization Navigation;
  • 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.2014.7007328
  • Filename
    7007328