IJCCE 2015 Vol.4(5): 318-326 ISSN: 2010-3743
DOI: 10.17706/IJCCE.2015.4.5.318-326
DOI: 10.17706/IJCCE.2015.4.5.318-326
MIMO-Based Vehicle Positioning System for Vehicular Networks
Abduladhim Ashtaiwi
Abstract—Accurate vehicle positioning is very important factor in many safety applications of vehicle
Ad-Hoc networks (VANETs). Two approaches for vehicle positioning have been studied in the literature:
global positioning system (GPS) and cooperative positioning system. In this paper we propose MIMO-based
vehicle positioning system (MVPS) for vehicular networks. MVPS exploits the spatial channels of multiple
input multiple output (MIMO) system. Antenna elements of MIMO system are embodied in proper positions
around the vehicle’s body. Because of the space separation between antennas elements, signals
concurrently transmitted from multiple transmit antennas can easily be separated using their unique fading
characteristics. By estimating the distance from each antenna of the transmitting vehicle to each antenna of
the receiving vehicle, we can proximate vehicle’s position and driving direction. To evaluate the accuracy of
MVPS using OPNET Modular we create a simulation model that includes all the vehicular network details
for urban area. Comparing the estimated vehicle positioning, obtained from the simulation, to the exact
vehicle position, MVPS achieves very high positioning accuracy.
Index Terms—ITS, VANETs, vehicle positioning.
The author is with the Computer Networks Department, College of Information and Technology, University of Tripoli, Libya.
Index Terms—ITS, VANETs, vehicle positioning.
The author is with the Computer Networks Department, College of Information and Technology, University of Tripoli, Libya.
Cite:Abduladhim Ashtaiwi, "MIMO-Based Vehicle Positioning System for Vehicular Networks," International Journal of Computer and Communication Engineering vol. 4, no. 5, pp. 318-326, 2015.
General Information
ISSN: 2010-3743 (Online)
Abbreviated Title: Int. J. Comput. Commun. Eng.
Frequency: Quarterly
DOI: 10.17706/IJCCE
Editor-in-Chief: Dr. Maode Ma
Abstracting/ Indexing: INSPEC, CNKI, Google Scholar, Crossref, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcce@iap.org
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