Received Signal Strength models for WLAN and BLE-based indoor positioning in multi-floor buildings

Elena-Simona Lohan, Jukka Talvitie, Pedro Figueiredo e Silva, Henri Nurminen, Simo Ali-Löytty, Robert Piche

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

    49 Citations (Scopus)
    864 Downloads (Pure)

    Abstract

    This paper investigates the similarities and differences of the signal strength fluctuations and positioning accuracy in indoor scenarios for three types of wireless area networks: two Wireless Local Area Networks (WLANs) at 2.4 GHz and 5 GHz frequency, respectively, and one Wireless Personal Area Network (WPAN), namely the Bluetooth Low Energy (BLE). Two path-loss models based on weighted centroids and non-negative least squares estimation are presented: one including a floor loss factor, and the other one ignoring the floor losses, and the three signal types are compared in terms of the path-loss parameters, channel fluctuations and positioning accuracy, namely the distance errors and floor detection probabilities. The comparison is done based on real-field measurement data collected from a university building in Tampere, Finland. It is shown that all these three signal types have similar shadowing variances and close path-loss parameter values, and that a path-loss model considering floor losses gives the best floor detection probability, but not necessarily the smallest distance error.
    Original languageEnglish
    Title of host publicationInternational Conference on Localization and GNSS (ICL-GNSS)
    PublisherIEEE
    Number of pages6
    ISBN (Print)9781479998593
    DOIs
    Publication statusPublished - 23 Jun 2015
    Publication typeA4 Article in conference proceedings
    EventInternational Conference on Localization and GNSS -
    Duration: 1 Jan 1900 → …

    Conference

    ConferenceInternational Conference on Localization and GNSS
    Period1/01/00 → …

    Publication forum classification

    • Publication forum level 1

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