Title :
Heterogeneous Navigation of Vehicle by Using MIMO-OFDM System
Author :
Hsieh, Tsun-Lung ; Horng, Gwo-Jiun ; Jong, Gwo-Jia
Author_Institution :
Dept. of Electron. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung
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.
Keywords :
Global Positioning System; Kalman filters; OFDM modulation; artificial intelligence; inertial navigation; mobile robots; road vehicles; Kalman filter; MIMO-OFDM system; artificial intelligence; differential global positioning system; heterogeneous road vehicle navigation; inertial navigation system; intelligent navigator; Accelerometers; Artificial intelligence; Dead reckoning; Global Positioning System; Inertial navigation; Intelligent sensors; Land vehicles; Mechanical sensors; Satellite navigation systems; Sensor systems;
Conference_Titel :
Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
978-0-7695-3322-3
DOI :
10.1109/NCM.2008.59
