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
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