• DocumentCode
    1721926
  • Title

    An improved integer ambiguity decorrelation algorithm

  • Author

    Xu Dingjie ; Chen Xiao ; Shen Feng

  • Author_Institution
    Harbin Eng. Univ., Harbin, China
  • fYear
    2013
  • Firstpage
    5035
  • Lastpage
    5040
  • Abstract
    The solution of integer ambiguity was regarded as a key technology of precise attitude measuring algorithm, which rapidity and accuracy is influenced by the relevance of ambiguity vector. Since the deficiency of present decorrelation way in LAMBDA algorithm, it was hard to solve. This paper used a sort way to optimization the method of decorrelation, and improved the iterative process of LLL and white filter algorithms iterative process improvement. The simulation results shown that the optimized of decorrelation algorithm was suit for the LLL and white filter algorithms. And the settlement effects were better to relevance with a higher success rate.
  • Keywords
    attitude measurement; decorrelation; filtering theory; iterative methods; LAMBDA algorithm; LLL iterative process; ambiguity vector; decorrelation method; integer ambiguity decorrelation algorithm; precise attitude measuring algorithm; white filter algorithms; Integer Ambiguity; LAMBDA; LLL algorithm; white filter algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6640314