DocumentCode :
550411
Title :
Scaled UKF with reduced sigma points for initial alignment of SINS
Author :
Mao Yuliang ; Chen Jiabin ; Song Chunlei ; Wu Weisheng
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
106
Lastpage :
110
Abstract :
The error model of the initial alignment of strapdown inertial navigation system (SINS) is nonlinear when the azimuth angle error is large. As the dimension of the system increases, the computation of the sigma points needed by UKF becomes burdensome, and the sigma points are no longer local sampling points. These non-local sigma points can´t represent the system state correctly, and are prone to causing estimate error. In this paper, an improved filtering method combing the reduced sigma points UKF and the scaled UKF is proposed and implemented for initial alignment of SINS. The experiment results show that it yields better performance than EKF.
Keywords :
Kalman filters; inertial navigation; SINS; azimuth angle error; filtering method; initial alignment; reduced sigma points; scaled UKF; strapdown inertial navigation system; Azimuth; Equations; Heuristic algorithms; Navigation; Noise; Random variables; Silicon compounds; SINS; Sigma point; UKF;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6000749
Link To Document :
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