DocumentCode :
660947
Title :
Preliminary comparison of Kalman and minimax approaches to error estimation of integrated navigation system
Author :
Fokin, Leonid A. ; Shiryaev, Vladimir I.
Author_Institution :
South Ural State Univ. (SUSU), Chelyabinsk, Russia
fYear :
2013
fDate :
12-13 Sept. 2013
Firstpage :
1
Lastpage :
3
Abstract :
In this paper, we consider possible efforts, advantages and accuracy goals of implementing minimax filter as an error vector estimator of inertial-astro-satellite navigation system. State-space error model of integrated navigation system is developed. Minimax filter formulation is given. Brief remarks on the practice and efficiency of Kalman and minimax approaches for error vector estimation for a given integrated navigation system are presented.
Keywords :
Kalman filters; inertial navigation; minimax techniques; satellite navigation; space vehicles; state-space methods; Kalman approach; error vector estimator; inertial-astro-satellite navigation system; integrated navigation system; minimax approach; minimax filter; spacecraft; state-space error model; Global Positioning System; Kalman filters; Silicon compounds; State estimation; Vectors; Integrated navigation system; Kalman filter; SINS/ANS/GNSS; error model; estimation; minimax filer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Communications (SIBCON), 2013 International Siberian Conference on
Conference_Location :
Krasnoyarsk
Print_ISBN :
978-1-4799-1060-1
Type :
conf
DOI :
10.1109/SIBCON.2013.6693599
Filename :
6693599
Link To Document :
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