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Géolocalisation à l'intérieur d'un bâtiment pour terminaux mobiles

Abstract : Nowadays, the localization of a device or person has become mandatory. If many solutions exist for outdoor environment, as the GPS one, any fails to provide an expected accuracy for indoor environment because of the multipath phenomena and the attenuation of signals crossing walls. This thesis focuses on the localization problem in buildings by using existed technologies in smartphones and tablets managed by Android OS - which is available in several brands. The indoor localization systems are using different technologies like radio-frequency (RF) waves or inertial sensors embedded in handsets. In the RF case, they use anchors or beacons, whose position impacts the localization performance for the covered zone. Our first contribution was the placement optimization of beacons using simulated annealing algorithm. Next to improve the localization performance, the inertial sensors, embedded in smartphones, have been used. The pedestrian dead reckoning (PDR) algorithm employs the extracted signals from the inertial sensors and determines the path done since a known position. These extracted signals are affected by the intrinsic parameters of sensors and they are corrupted by noises. The calibration of the sensors is compulsory to obtain data that could be used to estimate the walking orientation and the number of done steps by the user. It is often supposed that the walking orientation is the same as the smartphone orientation; however it might be interesting to consider the bias between these two orientations. A last contribution, in this thesis, consists on a proposed algorithm for step detection using fuzzy logic.
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Submitted on : Wednesday, July 25, 2018 - 10:45:18 AM
Last modification on : Friday, July 31, 2020 - 10:44:09 AM
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  • HAL Id : tel-01848775, version 1


Soufien Kammoun. Géolocalisation à l'intérieur d'un bâtiment pour terminaux mobiles. Informatique mobile. Télécom ParisTech, 2016. Français. ⟨NNT : 2016ENST0041⟩. ⟨tel-01848775⟩



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