• DocumentCode
    3423435
  • Title

    Random weighting filtering algorithm and its application in SINS/SAR Integrated Navigation System

  • Author

    Yu, Gu ; Mi, Mei ; Jian-Hua, Gu

  • Author_Institution
    Sch. of Automatics, Northwestern Polytech. Univ., Xian, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    2531
  • Lastpage
    2534
  • Abstract
    Strap-down Inertial Navigation System (SINS) is a typical navigation system with strong independence. To improve its performance in space, time and precision, a new Random Weighting Filtering algorithm (RWF) is proposed in this paper which adopts random weighting method. By studying its application in SINS/SAR Integrated Navigation System and comparing with other algorithms, it can be seen from the experiments that the proposed Random Weighting Filtering algorithm could significantly improve the performance of SINS/SAR Integrated Navigation System.
  • Keywords
    airborne radar; filtering theory; inertial navigation; radar signal processing; synthetic aperture radar; SINS/SAR integrated navigation system; random weighting filtering algorithm; strap-down inertial navigation system; Accuracy; Equations; Filtering; Filtering algorithms; Mathematical model; Navigation; Silicon compounds; Kaiman Filter; SINS/SAR Integrated Navigation; random weighting method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5656934
  • Filename
    5656934