DocumentCode
2744365
Title
The Application Reserch of Unscented Particle Filter Algorithm to GPS/DR
Author
Zhao, Mei ; Zhang, Santong ; Zhu, Gang
Author_Institution
Sch. of Electron. & Inf. Eng., Beijing JiaoTong Univ.
Volume
2
fYear
0
fDate
0-0 0
Firstpage
8717
Lastpage
8721
Abstract
In this paper, a new particle filter algorithm - unscented particle filter (UPF) is given based on the analysis of extended Kalman filter (EKF), general particle filter (PF) and unscented Kalman filter (UKF), and then it is applied to GPS/DR integrated navigation system. Finally, the feasibility and accuracy of UPF algorithm are proved, with a simulation and compare of UPF and PF in GPS/DR integrated navigation system
Keywords
Kalman filters; navigation; particle filtering (numerical methods); transportation; GPS; dead reckoning; extended Kalman filter; integrated navigation system; unscented particle filter; Algorithm design and analysis; Automation; Electronic mail; Global Positioning System; Intelligent control; Kalman filters; Navigation; Neural networks; Particle filters; GPS/DR; particle filter; unscented kalma filter; unscented particle filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1713683
Filename
1713683
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