Title :
A research of fuzzy Kalman filter algorithm based on GPS/DR integrated navigation system
Author :
Xu, Lin ; Zhu, Changjun
Author_Institution :
Changchun Inst. of Technol., Changchun, China
Abstract :
In this paper, according to working environment and application requirements of vehicle integrated navigation system, it takes GPS/DR vehicle integrated navigation system as the application object, it combined fuzzy theory and Kalman filter algorithm; and then a fuzzy Kalman filter was developed. It shows that by simulation experiments, this algorithm can suppress filter divergent-factors and improve anti-interference ability, and robustness effectively. This filter algorithm can adapt the change of noise environments.
Keywords :
Global Positioning System; Kalman filters; fuzzy systems; GPS/DR vehicle integrated navigation; anti-interference ability; fuzzy Kalman filter; suppress filter divergent factors; Acceleration; Equations; Filtering; Filters; Fuzzy systems; Global Positioning System; Mathematical model; Navigation; Vehicles; Working environment noise; GPS/DR; fuzzy Kalman filter; integrated navigation system; noise;
Conference_Titel :
Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-4544-8
DOI :
10.1109/PEITS.2009.5406850
