Title :
Characteristic polynomial of the QUEST algorithm
Author_Institution :
Dept. of Aerosp. Eng., Mississippi State Univ., Starkville, MS, USA
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;
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
DOI :
10.1109/ICINFA.2010.5512178