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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Claro, P., & Carvalho, N. B. (2007). Local positioning system based on artificial neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4669 LNCS, pp. 699–708). Springer Verlag. https://doi.org/10.1007/978-3-540-74695-9_72
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