• DocumentCode
    522828
  • Title

    Characteristic polynomial of the QUEST algorithm

  • Author

    Cheng, Yang

  • Author_Institution
    Dept. of Aerosp. Eng., Mississippi State Univ., Starkville, MS, USA
  • fYear
    2010
  • fDate
    20-23 June 2010
  • Firstpage
    381
  • Lastpage
    384
  • Abstract
    QUEST is a widely-used attitude estimation algorithm that determines three-axis attitude from vector observations. A key step in QUEST as well as many other fast attitude estimation algorithms involves solving the characteristic equation of a four-dimensional symmetric real matrix for the maximum eigenvalue of the matrix using an iterative root-finding method, for example, the Newton-Raphson method. When the attitude is only marginally observable, the form of the characteristic polynomial play a bigger role in the calculation of the maximum eigenvalue. The partially-factorized form of the characteristic polynomial leads to higher accuracy in the calculation of maximum eigenvalue than the expanded form of the characteristic polynomial.
  • Keywords
    Newton-Raphson method; attitude control; eigenvalues and eigenfunctions; matrix algebra; observers; polynomials; Newton Raphson method; QUEST algorithm; attitude estimation algorithm; characteristic polynomial; four dimensional symmetric real matrix; iterative root finding method; maximum matrix eigenvalue; three axis attitude; vector observations; Closed-form solution; Eigenvalues and eigenfunctions; Equations; Iterative algorithms; Iterative methods; Matrix decomposition; Polynomials; Position measurement; Symmetric matrices; Vehicles; QUEST; attitude estimation; characteristic polynomial;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2010 IEEE International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-5701-4
  • Type

    conf

  • DOI
    10.1109/ICINFA.2010.5512178
  • Filename
    5512178