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Techniques et technologies de localisation avancées pour terminaux mobiles dans les environnements indoor

Abstract : Knowing where a device or a person is in the environment becomes of major importance for applications providing services based on the position. The evolution of the technology and the advent of the GPS, lead to have a good estimate of the position of a mobile outside buildings. Even if GPS is dominating outdoor positioning, no technology flooded the indoor positioning market yet. Many WiFi networks are deployed inside buildings. Signal strength (RSS) information are present for the roaming inside the network. The RSS fingerprinting technique can determine the position of a mobile as long as a signal strength database (RSS coverage) is available.
Time based techniques are less constraining than fingerprinting. The forthcoming IEEE.802.15.4a standard is to have positioning capabilities. A study on the possible positioning techniques is necessary to achieve sub-centimeter accuracies. The narrow impulses emitted provide to the system the capability of separating the different multipath at reception. Multipath is the main phenomena impeding time based positioning technique.
Performances of positioning systems are often degraded by multi-path, measurement noises, etc. The Kalman filter and the particle filter are often used in estimation problems and can be limit the impact of the degradations. Sensor fusion is another approach to enhance performances. This is the next step to achieve a indoor globally positioning system. Novel architectures must be designed to make the technologies cooperate in order to annihilated the
weaknesses of each single technology and deliver the best position in every situation.
This work presents a novel approach for the WiFi indoor positioning by using mapping information while keeping a low complexity for the implementation on handheld devices. Then, UWB capabilities are explored and finally a reflection on sensor fusion is proposed.
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Contributor : Frédéric Evennou <>
Submitted on : Monday, March 12, 2007 - 10:23:21 AM
Last modification on : Wednesday, March 10, 2021 - 9:50:02 AM
Long-term archiving on: : Tuesday, April 6, 2010 - 10:10:24 PM


  • HAL Id : tel-00136064, version 1




Frédéric Evennou. Techniques et technologies de localisation avancées pour terminaux mobiles dans les environnements indoor. Traitement du signal et de l'image [eess.SP]. Université Joseph-Fourier - Grenoble I, 2007. Français. ⟨tel-00136064⟩



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