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SVM-based Models for Mobile Users' Initial Position Determination

Published online by Cambridge University Press:  17 June 2014

Majda Petric ,
Aleksandar Neskovic ,
Natasa Neskovic  and
Milos Borenovic
Majda Petric*
Affiliation:
(Department for Telecommunications, School of Electrical Engineering, University of Belgrade, Serbia)
Aleksandar Neskovic
Affiliation:
(Department for Telecommunications, School of Electrical Engineering, University of Belgrade, Serbia)
Natasa Neskovic
Affiliation:
(Department for Telecommunications, School of Electrical Engineering, University of Belgrade, Serbia)
Milos Borenovic
Affiliation:
(Vlatacom Research and Development Centre, Belgrade, Serbia)
*
(E-mail: [email protected])
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Abstract

A large interest in developing commercial Location-Based Services (LBS) and the necessity of implementing emergency call services, have led to the intensive development of techniques for mobile users' localisation. In this paper, a Public Land Mobile Networks (PLMN) -based technique for initial position determination is proposed as an alternative to satellite-based methods in environments with obstructed satellite signals. Two positioning models, based on handset available Received Signal Strength (RSS) measurements from Global System for Mobile Communications (GSM) base stations and the use of Support Vector Machine (SVM) algorithms, are proposed. Performances of proposed models are verified using field measurements, collected in a suburban environment. Models are analysed in terms of positioning accuracy, complexity and latency, and compared to some other promising PLMN-based techniques. Using proposed SVM-based positioning models a median error of 4·3 m–6·2 m and latency of less than a second can be achieved.

Keywords

Initial position determinationSVMRSSField test
Type
Research Article
Information
The Journal of Navigation , Volume 67 , Issue 6 , November 2014 , pp. 950 - 966
Copyright
Copyright © The Royal Institute of Navigation 2014 

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