• DocumentCode
    1715566
  • Title

    A robust model-based approach to indoor positioning using signal strength

  • Author

    Sayrafian-Pour, Kamran ; Kaspar, Dominik

  • Author_Institution
    Inf. Technol. Lab., Nat. Inst. of Stand. & Technol., Gaithersburg, MD
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A simple technique to estimate the position of a mobile node inside a building is based on the Received Signal Strength (RSS). In previous publications, we investigated the effectiveness of using circular array antennas and beamforming in order to enable an access point to estimate the position of a mobile inside a building. We also discussed the feasibility of using model-based radio maps to reduce the need for extensive offline measurements. In this paper, a positioning algorithm based on the relative order of the received signal strengths is discussed. This algorithm in conjunction with the ray-tracing propagation model can have promising performance for indoor environments and essentially eliminates the needs for an extensive set of a priori measurement, training or intricate calibration.
  • Keywords
    array signal processing; indoor radio; mobility management (mobile radio); ray tracing; circular array antennas; indoor positioning; mobile node; model-based radio maps; position estimation; ray-tracing propagation model; received signal strength; Array signal processing; Databases; Information technology; Laboratories; Phase measurement; Predictive models; Ray tracing; Robustness; Signal processing algorithms; Wireless sensor networks; beamforming; indoor; localization; propagation; ray-tracing; signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2008. PIMRC 2008. IEEE 19th International Symposium on
  • Conference_Location
    Cannes
  • Print_ISBN
    978-1-4244-2643-0
  • Electronic_ISBN
    978-1-4244-2644-7
  • Type

    conf

  • DOI
    10.1109/PIMRC.2008.4699811
  • Filename
    4699811