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ICANN
2007
Springer

Local Positioning System Based on Artificial Neural Networks

11 years 11 months ago
Local Positioning System Based on Artificial Neural Networks
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.
Pedro Claro, Nuno Borges Carvalho
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ICANN
Authors Pedro Claro, Nuno Borges Carvalho
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