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.
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;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713683
