Hybrid derivative-free EKF for USBL/INS tightly-coupled integration in AUV

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

Geng, Y (Author) Other; João Tasso Sousa (Author) FEUP

Conference proceedings International

Title: IEEE 2010 International Conference on Autonomous and Intelligent Systems, AIS 2010

IEEE 2010 International Conference on Autonomous and Intelligent Systems, AIS 2010

Povoa de Varzim, 21 June 2010 through 23 June 2010

Indexing

Scopus - 9 Citations

Other information

Authenticus ID: P-007-VK0

DOI: 10.1109/ais.2010.5547035

Abstract (EN): 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. © 2010 IEEE.

Language: English

Type (Professor's evaluation): Scientific