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

Volume

1

fYear

2008

fDate

2-4 Sept. 2008

Firstpage

422

Lastpage

425

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/NCM.2008.59

Filename

4624044