Title :
Moving state marine SINS initial alignment based on transformed cubature Kalman filter
Author :
Yonggang Zhang ; Yulong Huang ; Zhemin Wu ; Ning Li
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
fDate :
May 31 2014-June 2 2014
Abstract :
In this paper, we propose an initial alignment method for marine strap-down inertial navigation system (SINS) based on transformed cubature Kalman filter (TCKF) under large heading misalignment angle condition, which can alleviate the non-local sampling problem inherent in existing initial alignment method based on cubature Kalman filter (CKF). As can be seen from our simulation results, TCKF outperforms CKF considerably in terms of accuracy and SINS alignment speed.
Keywords :
Kalman filters; inertial navigation; marine navigation; signal sampling; SINS alignment speed; TCKF; large heading misalignment angle condition; marine strapdown inertial navigation system; moving state marine SINS initial alignment; nonlocal sampling problem; transformed cubature Kalman filter; Estimation error; Kalman filters; Marine vehicles; Mathematical model; Navigation; Silicon compounds; Large heading misalignment angle; Moving state initial alignment; SINS; Transformed cubature Kalman filter;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852737