Local positioning system based on artificial neural networks

Authors:
Pedro Claro;Nuno Borges Carvalho
Affiliations:
Instituto de Telecomunicações, Aveiro Portugal;Instituto de Telecomunicações, Aveiro Portugal
Venue:
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Year:
2007

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Abstract

This work describes a complete indoor location system, from its creation, development and deployment. This location system is a capable way of retrieving the position of wireless devices using a simple software solution, no additional hardware is necessary. The positioning engine uses artificial neural networks (ANN) to describe the behaviour of a specific indoor propagation channel. The training of the ANN is assured using a slight variation of the radio frequency fingerprinting technique. Results show that the location system has high accuracy with an average error below two meters.