Body Shadowing mitigation using differentiated LOS / NLOS channel models for RSSI-based monte Carlo Personnel Localization

W.P.L. Cully, S.L. Cotton, W.G. Scanlon

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

    17 Citations (Scopus)


    Research into localization has produced a wealth of algorithms and techniques to estimate the location of wireless network nodes, however the majority of these schemes do not explicitly account for non-line of sight conditions. Disregarding this common situation reduces their accuracy and their potential for exploitation in real world applications. This is a particular problem for personnel tracking where the user’s body itself will inherently cause time-varying blocking according to their movements. Using empirical data, this paper demonstrates that, by accounting for non-line of sight conditions and using received signal strength based Monte Carlo ocalization, meter scale accuracy can be achieved for a wrist-worn personnel tracking tag in a 120 m2 indoor office environment.
    Original languageUndefined
    Title of host publicationIEEE Wireless Communications & Networking Conference (WCNC2012)
    Place of PublicationUSA
    Number of pages5
    ISBN (Print)978-1-4673-0436-8
    Publication statusPublished - 11 Jun 2012
    EventIEEE Wireless Communications & Networking Conference, WCNC 2012 - Paris, France
    Duration: 1 Apr 20124 Apr 2012

    Publication series

    PublisherIEEE Aerospace and Electronic Systems Society


    ConferenceIEEE Wireless Communications & Networking Conference, WCNC 2012
    Abbreviated titleWCNC
    Internet address


    • METIS-287951
    • IR-80948
    • Propagation
    • Localization
    • NLOS
    • EWI-22095
    • Body centric
    • Channel
    • off-body
    • Tracking
    • RSSI
    • Monte Carlo

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