Description
Date depot: 1 janvier 1900
Titre: Techniques de localisation en Environnement Intérieur utilisant les Réseaux WiFi
Directeur de thèse:
Dirk SLOCK (Eurecom)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Non defini
Resumé:
When GPS (or GNSS) is not available, location estimation can be based on wireless communication infrastructure. One prime technology candidate is WiFi since it is generally ubiquitously present indoors and it uses a microcellular layout that should be beneficial for indoor location estimation precision. The open character of WiFi leads to a fairly straightforward development of basic location estimation apps in smartphones as mentioned in [7], which also illustrates an important use case in hospitals, where navigation aid in complex building structures can be quite helpful. See also [8] for a WiFi based location estimation and services app developer and various application scenarios. In recent years, the integration of location estimation in cellular standards such as GSM, 3G and LTE has spilled over to other wireless standards such as WiFi and Bluetooth [9]. The explosion of the importance of location estimation and mapping technology is also illustrated by the number of acquisitions by Apple of startups specialized in these techniques [10].
Indoor location estimation however is significantly more difficult than in the outdoor case, due to the typically much more pronounced multipath and the frequent Non Line of Sight (NLoS) configuration, see e.g. [11] for a study in the context of Bluetooth. This difficult context leads to another problem, which is that of reproducible research. Whereas most wireless system performance depends heavily on the environment, this is particularly true for indoor positioning where the location accuracy can depend enormously on the particular indoor environment. This issue is tackled in the EU project EVARILOS [12]. The
study in [13] on the other hand, which in the context of GSM data, illustrates though that precise indoor location estimation is possible if enough data is available.
Doctorant.e: Bazzi Ahmad