NDLI: Fingerprinting localization based on neural networks and ultra-wideband signals

Content Provider	IEEE Xplore Digital Library
Author	Lei Yu Laaraiedh, M. Avrillon, S. Uguen, B.
Copyright Year	2011
Description	Author affiliation: Université de Rennes 1, IETR, Campus Beaulieu Bat 11D, 35042 France (Lei Yu; Laaraiedh, M.; Avrillon, S.; Uguen, B.)
Abstract	Fingerprinting techniques have been proved as an effective techniques for determining the position of a mobile user in an indoor environment and in challenging environments such as mines, canyons, and tunnels where common localization techniques based on time of arrival (TOA) or received signal strength (RSS) are subject to big positioning errors. In this paper, a fingerprinting based localization technique using neural networks and ultra-wideband signals (UWB) is presented as an alternative. The fingerprinting database is built with signatures extracted from channel impulse responses (CIR) obtained by processing an IR-UWB indoor propagation measurement campaign. The construction of the neural networks and the adopted approach are described. Positioning performances are evaluated with different selected signatures and different sizes of the fingerprinting database.
Starting Page	184
Ending Page	189
File Size	1552150
Page Count	6
File Format	PDF
ISBN	9781467307529
e-ISBN	9781467307536
e-ISBN	9781467307512
DOI	10.1109/ISSPIT.2011.6151557
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-14
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Receivers Databases Fingerprint recognition UWB Fingerprinting Localization Neural networks
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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