Performance evaluation of a location system guided transport vehicles based on the combination of UWB radio technology and a time reversal technique

In guided transport, the precise location of trains is vital for nominal operation of the transport system. In a propagation environment such as a railway line, an effective location sensor is complex to design and validate since it must operate in the presence of many fixed and mobile obstacles constituted by the infrastructure and the trains. In this thesis, to design such a sensor, we propose the use of so-called spectral diversity techniques also found under the name of Ultra Wideband radio (UWB). In this work, the latter is also associated with the Time Reversal (TR) technique to take advantage of the complex propagation environment. The objective is to obtain a reliable and robust location of rail vehicles by focusing UWB signals to antennas or ground trains. Theoretical studies combined with simulations were performed on the properties of energy focusing of TR technique taking into account several parameters related to antennal configurations, propagation channels and the railway environment. The contribution of TR on the accuracy of the positioning system was quantified by comparing the conventional UWB positioning system alone and then, combining it with TR. The theoretical results and simulations of the proposed solution have been validated by experiments carried out in an anechoic chamber and in indoor environment.

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Source https://theses.hal.science/tel-00973788
Author Fall, Bouna
Maintainer CCSD
Last Updated May 5, 2026, 16:37 (UTC)
Created May 5, 2026, 16:37 (UTC)
Identifier NNT: 2013VALE0028
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN) ; Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)
creator Fall, Bouna
date 2013-11-14T00:00:00
harvest_object_id 3eabe246-b232-4c59-bf95-c079e960de46
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE