• DocumentCode
    1615182
  • Title

    Research on FOG Random Errors Modeling Based on AFSA

  • Author

    Wang, Tingjun ; Gao, Yanbin ; Ma, Tao

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2012
  • Firstpage
    1243
  • Lastpage
    1246
  • Abstract
    Fiber-optic gyroscope random drift is not only the main errors influence gyroscope accuracy, but also the main factors influence Gyro´s performance reliability. It has a very important significance that using the time series analysis method, modeling random excursions of gyroscope, analyzes the main reasons causing gyroscope excursion withing historical data. Gyro model, usually by the ARMA(n, m) stochastic model, but the traditional ARMA model establishment method is relatively complicated. And parameter estimation algorithm based on AFSA can overcome ARMA model complexity. This paper models the random errors of Gyro used AFSA firstly, and gets good results, provides a new idea and method for time series analysis.
  • Keywords
    autoregressive moving average processes; fibre optic gyroscopes; reliability; stochastic processes; time series; AFSA; ARMA model establishment method; FOG random error modeling; fiber-optic gyroscope random drift; gyro performance reliability; gyroscope accuracy; gyroscope modeling random excursion; parameter estimation algorithm; stochastic model; time series analysis method; Algorithm design and analysis; Analytical models; Autoregressive processes; Data models; Gyroscopes; Marine animals; Time series analysis; AFSA; FOG; modeling; time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.330
  • Filename
    6322619