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- handle: 10670/1.pwfw8i
- hal: hal-01127772
- doi: 10.1109/ICCW.2013.6649206
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info:eu-repo/semantics/altIdentifier/doi/10.1109/ICCW.2013.6649206
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info:eu-repo/grantAgreement/EC/FP7/217033/EU/Wireless Hybrid Enhanced Mobile Radio Estimators/WHERE
info:eu-repo/semantics/OpenAccess
Mots-clés
Index Terms— Simulator propagation localization ray-tracing multi-wall mobility model graph theorySujets proches
Wireless (Radio) Telephone, Wireless Wireless telephone (Early radio) Individuals (Persons) PeopleCiter ce document
Nicolas Amiot et al., « PyLayers: An open source dynamic simulator for indoor propagation and localization », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10.1109/ICCW.2013.6649206
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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.