Reference : Indoor localization using ambient FM radio RSS fingerprinting: A 9-month study

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/32586

Title :	Indoor localization using ambient FM radio RSS fingerprinting: A 9-month study
Language :	English
Author, co-author :	Popleteev, Andrei [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	Aug-2017
Main document title :	17th IEEE International Conference on Computer and Information Technology (CIT-2017)
Peer reviewed :	Yes
Event name :	17th IEEE International Conference on Computer and Information Technology (CIT-2017)
Event date :	21-08-2017 to 23-08-2017
Keywords :	[en] indoor localization ; FM radio ; fingerprinting
Abstract :	[en] While indoor positioning systems aspire for higher accuracy, their coverage is typically limited to buildings with dedicated hardware. A possible alternative is offered by infrastructure-free positioning methods. In particular, several studies have demonstrated feasibility of indoor positioning using broadcast FM radio signals, which are available in most populated areas worldwide. However, previous work provides little information about long-term performance of FM-based indoor localization. This paper presents a longitudinal study of FM indoor positioning based on received signal strength (RSS) fingerprinting. We evaluate system's performance on a large dataset of real-world FM signals, systematically collected in several large-scale multi-floor testbeds over the course of 9 months. We also investigate the impact of different classifiers, training schedules and fingerprint sizes on localization accuracy. The results demonstrate that well-trained FM-based system can provide reliable indoor positioning even several months after deployment.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Networking Research Group (NetLab)
Funders :	Fonds National de la Recherche - FnR
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/32586
DOI :	10.1109/CIT.2017.57
FnR project :	FnR ; FNR8311593 > Andrei Popleteev > INDOORS > Indoor Navigation With Ambient Radio Signals > 01/02/2015 > 31/07/2017 > 2014

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