Paper Info
Title
Heterogeneous Navigation of Vehicle by Using MIMO-OFDM System
Abstract
In this paper, the Kalman filter (KF) has been implemented as the primary integration scheme of the global positioning system (GPS) and inertial navigation systems (INS) for many land vehicle navigation and positioning applications. However, it has been reported that KF-based techniques have certain limitations, which reflect on the position error accumulation during GPS signal outages. Therefore, this article exploits the idea of incorporating artificial intelligence to develop an alternative INS/Differential-GPS (DGPS) integration scheme, the intelligent navigator, for next generation land vehicle navigation and positioning applications.
Year
DOI
Venue
2008
10.1109/NCM.2008.59
NCM (1)
Keywords
Field
DocType
global positioning system,kalman filter,mimo-ofdm system,kalman filters,road vehicles,artificial intelligence,primary integration scheme,heterogeneous road vehicle navigation,next generation land vehicle,ofdm modulation,mobile robots,inertial navigation system,kf-based technique,integration scheme,heterogeneous navigation,land vehicle navigation,differential global positioning system,gps signal outages,alternative ins,positioning application,inertial navigation,intelligent navigator,navigation,interference,sensors,artificial intelligent
Inertial navigation system,Satellite navigation,Computer science,Simulation,GPS/INS,Real-time computing,Dead reckoning,Global Positioning System,Mobile robot navigation,Wind triangle,GPS signals,Distributed computing
Conference
Volume
ISBN
Citations 
1
978-0-7695-3322-3
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Tsun-Lung Hsieh100.34
Gwo-Jiun Horng29923.82
Gwo-Jia Jong35918.97