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
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;
Conference_Titel :
Autonomous and Intelligent Systems (AIS), 2010 International Conference on
Conference_Location :
Povoa de Varzim
Print_ISBN :
978-1-4244-7104-1
DOI :
10.1109/AIS.2010.5547035