DocumentCode
2435319
Title
The Application and Design of EKF Smoother Based on GPS/DR Integration for Land Vehicle Navigation
Author
Zhang, Haitao ; Rong, Jian ; Zhong, Xiaochun ; Yang, Huajun ; Xiao, Huajun ; Zhang, Ling
Author_Institution
Sch. of Phys. Electron., Univ. of Electron. Sci. & Technol. of China, Chengdu
Volume
1
fYear
2008
fDate
19-20 Dec. 2008
Firstpage
704
Lastpage
707
Abstract
This paper proposes a land vehicle navigation algorithm based on the global positioning system (GPS) and the dead reckoning (DR).To achieve high location and velocity accuracy , the extended Kalman filter smoother (EKF-smoother) is introduced for GPS/DR integrated navigation system. And the algorithm of the EKF and the EKF-smoother is given. Further, the state models and the measurement models of GPS/DR are set up. For comparision purpose, the algorithm performance of EKF and EKF-smoother is contrasted. Numerical results demonstrate that the proposed EKF-smoother algorithm gives much higher navigation accuracy than EKF algorithm for land vehicle navigation. The algorithm has obvious advantages of high accuracy.
Keywords
Global Positioning System; Kalman filters; vehicles; EKF smoother; GPS-DR integration; dead reckoning; extended Kalman filter smoother; global positioning system; land vehicle navigation; Conferences; Global Positioning System; Industrial electronics; Kalman filters; Land vehicles; Navigation; Noise measurement; Sampling methods; Stability; State estimation; EKF-smoother; the Extended Kalman filter; the dead reckoning; the global positioning system;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3490-9
Type
conf
DOI
10.1109/PACIIA.2008.131
Filename
4756651
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