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Indoor localization using multi-frequency RSS
KTH, School of Electrical Engineering (EES), Signal Processing. Swedish Defence Research Agency (FOI), Sweden.
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2016 (English)In: Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016, Institute of Electrical and Electronics Engineers (IEEE), 2016, 789-798 p.Conference paper (Refereed)
Abstract [en]

This paper investigates the usefulness of multi-frequency received signal strength (RSS) for indoor localization. A collected set of data from four sites containing 7 frequencies from dual receivers and a high accuracy reference positioning system is presented. The collected data is also made publicly available through ResearchGate. The data is analyzed with respect to spatial variations using Gaussian processes (GP). The results show that there are more rapid signal variations across corridors than along them. The uniqueness of RSS fingerprints is analyzed suggesting that sequences of measurements in smoothing, or smoothing-like, algorithms that can handle temporary position ambiguities are likely the best choice for localization applications.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 789-798 p.
Keyword [en]
RSS, Gaussian process, High-accuracy, Indoor localization, Multi frequency, Positioning system, Received signal strength, Signal variations, Spatial variations
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-194576DOI: 10.1109/PLANS.2016.7479774ScopusID: 2-s2.0-84978472935ISBN: 978-150902042-3OAI: oai:DiVA.org:kth-194576DiVA: diva2:1042014
Conference
IEEE/ION Position, Location and Navigation Symposium, PLANS 2016, Hyatt RegencySavannah, Georgia, 11 April 2016 through 14 April 2016
Funder
Swedish Foundation for Strategic Research
Note

QC 20161031

Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2016-10-31Bibliographically approved

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