On the RBF-based positioning using WLAN signal strength fingerprints

C. Laoudias, C.G. Panayiotou, Paul Kemppi

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    11 Citations (Scopus)

    Abstract

    Provision of accurate and reliable location estimates is the key issue for the proliferation of indoor location oriented services and applications. Our positioning method is based on Radial Basis Function (RBF) networks and we exploit Received Signal Strength (RSS) measurements from several WLAN Access Points (AP). We incorporate the RSS covariance matrix into the estimation method and couple that with a methodology that indicates which APs can be ignored during positioning without sacrificing accuracy. We evaluate the RBF method in a real-life setup, and experimental results suggest that the proposed approach performs well. (14 refs.)
    Original languageEnglish
    Title of host publicationProceedings of the 7th Workshop on Positioning, Navigation and Communication, WPNC 2010
    Place of PublicationPiscataway, NJ, USA
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages93-98
    ISBN (Electronic)978-1-4244-7158-4
    ISBN (Print)978-1-4244-7157-7
    DOIs
    Publication statusPublished - 2010
    MoE publication typeA4 Article in a conference publication
    Event7th Workshop on Positioning, Navigation and Communication, WPNC 2010 - Dresden, Germany
    Duration: 11 Mar 201012 Mar 2010

    Conference

    Conference7th Workshop on Positioning, Navigation and Communication, WPNC 2010
    Abbreviated titleWPNC 2010
    CountryGermany
    CityDresden
    Period11/03/1012/03/10

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  • Cite this

    Laoudias, C., Panayiotou, C. G., & Kemppi, P. (2010). On the RBF-based positioning using WLAN signal strength fingerprints. In Proceedings of the 7th Workshop on Positioning, Navigation and Communication, WPNC 2010 (pp. 93-98). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/WPNC.2010.5653403