DocumentCode
3514877
Title
Hybrid derivative-free EKF for USBL/INS tightly-coupled integration in AUV
Author
Geng, Yanrui ; Sousa, Joao
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Porto, Porto, Portugal
fYear
2010
fDate
21-23 June 2010
Firstpage
1
Lastpage
6
Abstract
This paper presents a novel hybrid derivative-free extended Kalman filter, which takes advantage of both the linear time propagation of the Kalman filter and nonlinear measurement propagation of the derivative-free extended Kalman filter. The proposed filter is very suitable for the tightly coupled integration navigation system which consists of USBL or GPS with INS. The computation burden is reduced sharply compare to nonlinear estimation method such as the unscented Kalman filter (UKF). Simulations are conducted to illustrate the effectiveness of the proposed Kalman filter. The performance of the novel filter is as good as that of the UKF in integration navigation.
Keywords
Kalman filters; estimation theory; inertial navigation; remotely operated vehicles; underwater vehicles; AUV; GPS; USBL/INS tightly coupled integration; extended Kalman filter; global positioning system; hybrid derivative free EKF; inertial navigation system; integration navigation system; linear time propagation; nonlinear estimation method; nonlinear measurement propagation; ultra short baseline; Equations; Estimation; Jacobian matrices; Kalman filters; Mathematical model; Navigation; Trajectory; Acoustic applications; Inertial navigation; Kalman filtering; Underwater vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Autonomous and Intelligent Systems (AIS), 2010 International Conference on
Conference_Location
Povoa de Varzim
Print_ISBN
978-1-4244-7104-1
Type
conf
DOI
10.1109/AIS.2010.5547035
Filename
5547035
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