Title :
Design of Integrated Navigation System Based on Information Fusion Technology for the Intelligent Transportation System
Author :
Jie, Cao ; Shaoshan, Chen ; Yu, Li ; Chongyu, Ren
Author_Institution :
Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Tech.
Abstract :
In recent years there has been a major upsurge of interest in the integrated global positioning system (GPS)/inertial navigation system (INS) as a cost-effective way of providing accurate and reliable navigation aid for civil and military vehicles. This thesis discusses the technology problem and calculation methods of GPS/INS integrated navigation system. The GPS/INS integrated navigation system based on information fusion technology and a multi-sensor information fusion algorithm based on federal Kalman filter is analyzed in detail. The federal KF algorithm suitable for this application is also developed; and preliminary computer simulation results are given and the simulation results show that Kalman filter can deal with information fusion for the GPS/INS integrated system
Keywords :
Global Positioning System; Kalman filters; inertial navigation; military vehicles; sensor fusion; GPS-INS integrated system; civil vehicle; federal Kalman filter; global positioning system; inertial navigation system; intelligent transportation system; military vehicle; multisensor information fusion algorithm; Aircraft navigation; Computer simulation; Filters; Global Positioning System; Inertial navigation; Intelligent transportation systems; Real time systems; Satellite navigation systems; Sensor systems; Signal processing;
Conference_Titel :
ITS Telecommunications Proceedings, 2006 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
0-7803-9587-5
Electronic_ISBN :
0-7803-9587-5
DOI :
10.1109/ITST.2006.288853
