Paper Info
Title
Heterogeneous Vehicle Navigation Platform Combined with Mobile RFID Using MIMO System
Abstract
In a mobile Radio Frequency Identification (RFID) system, the RFID tag is attached to a mobile object such as a vehicle, a human etc. The information is more difficult to detect than in the case where the tag is attached to a stationary object. The RFID reader and back-end database both help to automatically record and store the vehicle driver information and real time status of a tracked geographic information system (GIS), and they cooperate to synchronize the information flow and monitor. 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. It also includes estimating the state of dynamic systems, almost all systems have some dynamic component, and determine how to best use a given set of vehicle sensors for modeling a high performance analysis by using the KF algorithm.
Year
DOI
Venue
2012
10.1007/s11277-010-0044-2
Wireless Personal Communications
Keywords
Field
DocType
RFID,GIS,INS,Vehicle,Heterogeneous,Kalman filter,GPS
Inertial navigation system,Geographic information system,Mobile radio,Synchronization,Mobile RFID,Computer science,Kalman filter,Real-time computing,Global Positioning System,Automatic vehicle location
Journal
Volume
Issue
ISSN
62
1
0929-6212
Citations 
PageRank 
References 
0
0.34
7
Authors
2
Name
Order
Citations
PageRank
Gwo-Jia Jong15918.97
Gwo-Jiun Horng29923.82