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Communication Dans Un Congrès Année : 2013

PyLayers: An open source dynamic simulator for indoor propagation and localization

Résumé

— In this paper, we introduce PyLayers a new open source radio simulator built to tackle indoor localization problem. PyLayers has been designed to simulate complete dynamic scenarios including the realistic movement of persons inside a building, the transmission channel estimation for multiple radio access technologies and the position estimation relying on location-dependent parameters originated from the simulated OSI physical layer. The channel is estimated by using a fast graph-based ray tracing method. From these simulated data, location dependent parameters, such as received power or time of arrival, can be deduced. The realistic movement of persons into the building layout is modeled with a virtual forces approach. The simulated data can be directly used with one of the built-in localization algorithms or be exported to various standards extensions. Finally, the accuracies of both the channel estimation and the localization are compared to measurements and show a good match.
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Dates et versions

hal-01127772 , version 1 (08-03-2015)

Identifiants

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Nicolas Amiot, Mohamed Laaraiedh, Bernard Uguen. PyLayers: An open source dynamic simulator for indoor propagation and localization. Communications Workshops (ICC), 2013 IEEE International Conference on, Jun 2013, Budapest, Hungary. ⟨10.1109/ICCW.2013.6649206⟩. ⟨hal-01127772⟩
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