• DocumentCode
    3098549
  • Title

    Random Weighting Estimation of White Noise Error Characteristic in Integrated INS/GPS/SAR System

  • Author

    Gao, Shesheng ; Feng, Zhihua ; Li, Huaxing

  • Author_Institution
    Coll. of Autom., Northwestern Polytech. Univ., Xian
  • fYear
    2006
  • fDate
    Nov. 28 2006-Dec. 1 2006
  • Firstpage
    50
  • Lastpage
    50
  • Abstract
    Random weighting estimation is an emergent algorithmic method in statistic, which is firstly applied to the research of navigation system in this paper. An algorithm is presented for on-line random weighting estimating the white noise errors of integrated INS/GPS/SAR navigation system. Secondly, The Random weighting estimation is presented in terms of variance and drift rate parameters, and the method applied to estimate the white noise errors of INS/GPS/SAR navigation system is proved to be effective. Research result shows that the random weighting estimation has a better performance than other statistic estimation methods.
  • Keywords
    Global Positioning System; estimation theory; inertial navigation; random processes; synthetic aperture radar; white noise; GPS; INS; SAR system; drift rate parameter; global positioning system; inertial navigation system; random weighting estimation; synthetic aperture radar; variance parameter; white noise error characteristic; Automation; Computational intelligence; Educational institutions; Error analysis; Error correction; Global Positioning System; Navigation; Random variables; Statistical distributions; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7695-2731-0
  • Type

    conf

  • DOI
    10.1109/CIMCA.2006.169
  • Filename
    4052694