[TDA14] Hybrid Indoor Localization using GSM Fingerprints, Embedded Sensors and a Particle Filter

Conférence Internationale avec comité de lecture : The Eleventh International Symposium on Wireless Communication Systems, August 2014, pp.542 - 547 , Barcelona, Spain, (DOI: 10.1109/ISWCS.2014.6933413)

Auteurs: Y. Tian , B. Denby , I. Ahriz , P. Roussel , G. Dreyfus

motcle:

Résumé: The article presents an indoor localization scheme for mobile devices based on GSM Received Signal Strength fingerprints combined with embedded sensor information and an area site map. Displacements of a mobile user are first estimated using a sensor dead-reckoning approach that adapts stride length to different users and environments, and a dynamically switched orientation estimation scheme responding to orientation changes of the mobile device. Positions derived from GSM fingerprints, along with constraints imposed by a site map, are then integrated using a particle filter in order to prevent the accumulation of dead-reckoning errors over time. The study demonstrates that a standard handset with cellular network access and embedded inertial sensors can provide a good solution for indoor localization.

Equipe: laetitia

Collaboration: ,

BibTeX

@inproceedings {
	TDA14,
	title	=	"{Hybrid Indoor Localization using GSM Fingerprints, Embedded Sensors and a Particle Filter}",
	author	=	" Y. Tian and B. Denby and I. Ahriz and P. Roussel and G. Dreyfus ",
	booktitle	=	"{The Eleventh International Symposium on Wireless Communication Systems}",
	year	=	2014,
	month	=	"August",
	pages	=	"542 - 547 ",
	address	=	"Barcelona, Spain",
	doi	=	"10.1109/ISWCS.2014.6933413",
}