A Low-cost Fingerprint Positioning System in Cellular Networks

Claude Takenga; Kyandoghere Kyamakya

2nd International ICST Conference on Communications and Networking in China

Research Article

A Low-cost Fingerprint Positioning System in Cellular Networks

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/CHINACOM.2007.4469533,
    author={Claude Takenga and Kyandoghere Kyamakya},
    title={A Low-cost Fingerprint Positioning System in Cellular Networks},
    proceedings={2nd International ICST Conference on Communications and Networking in China},
    publisher={IEEE},
    proceedings_a={CHINACOM},
    year={2008},
    month={3},
    keywords={Fingerprint Positioning  Kalman Filter  Map-Matching  Mobile Localization  Neural Networks},
    doi={10.1109/CHINACOM.2007.4469533}
}

Claude Takenga
Kyandoghere Kyamakya
Year: 2008
A Low-cost Fingerprint Positioning System in Cellular Networks
CHINACOM
IEEE
DOI: 10.1109/CHINACOM.2007.4469533

Claude Takenga¹^,*, Kyandoghere Kyamakya²^,*

1: Institute of communications engineering Leibniz University of Hannover Appelstrasse 9A, 30167 Hannover, Germany
2: Department of Smart System Technologies Alpen Adria University Klagenfurt Klagenfurt, Austria

*Contact email: takenga@yahoo.fr, Kyandoghere.kyamakya@uni-klu.ac.at

Abstract

An ultimate aim of mobile positioning research is to find a method providing high estimation accuracy to the user within minimum delay and at minimum cost. Conventional location techniques based on trilateration and triangulation rely on line-of-sight path between the base station antenna and the mobile unit. In densely built urban areas, this assumption is rarely valid. This fact degrades the location performance of the conventional techniques and motivates the need for development of more accurate technique suited for these areas. Positioning system developed in this research is divided into three sub-systems. The first sub-system solves the problems related to fingerprint localization and involves neural network as key element of the positioning algorithm. The postprocessing tasks which include tracking and map-matching are performed in the second and third sub-systems respectively.

Keywords: Fingerprint Positioning Kalman Filter Map-Matching Mobile Localization Neural Networks

Published: 2008-03-07
Publisher: IEEE
Modified: 2011-07-12

: http://dx.doi.org/10.1109/CHINACOM.2007.4469533