Siirry päänavigointiin Siirry hakuun Siirry pääsisältöön

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

    Tutkimustuotos: KonferenssiartikkeliTieteellinenvertaisarvioitu

    55 Sitaatiot (Scopus)
    883 Lataukset (Pure)

    Abstrakti

    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.
    AlkuperäiskieliEnglanti
    OtsikkoInternational Conference on Localization and GNSS (ICL-GNSS)
    KustantajaIEEE
    Sivumäärä6
    ISBN (painettu)9781479998593
    DOI - pysyväislinkit
    TilaJulkaistu - 23 kesäk. 2015
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
    TapahtumaINTERNATIONAL CONFERENCE ON LOCALIZATION AND GNSS -
    Kesto: 1 tammik. 1900 → …

    Conference

    ConferenceINTERNATIONAL CONFERENCE ON LOCALIZATION AND GNSS
    Ajanjakso1/01/00 → …

    Julkaisufoorumi-taso

    • Jufo-taso 1

    Sormenjälki

    Sukella tutkimusaiheisiin 'Received Signal Strength models for WLAN and BLE-based indoor positioning in multi-floor buildings'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

    Siteeraa tätä