• DocumentCode
    635957
  • Title

    A received signal strength indication-based localization system

  • Author

    Lourenco, Pedro ; Batista, Pedro ; Oliveira, P. ; Silvestre, Carlos ; Chen, Peng

  • Author_Institution
    Inst. for Syst. & Robot., Univ. Tec. de Lisboa, Lisbon, Portugal
  • fYear
    2013
  • fDate
    25-28 June 2013
  • Firstpage
    1242
  • Lastpage
    1247
  • Abstract
    Localization using the received signal strength indication (RSSI) of wireless local area networks with a priori knowledge of the coordinates of the routers/access points is addressed in this paper. The proposed algorithm employs a path loss model that allows for the inclusion of the logarithmic measurements of the signal strength directly in the state of the nonlinear system that is designed. The nonlinear system is augmented in such a way that the resulting system structure may be regarded as linear time-varying for observability purposes, from which a Kalman filter follows naturally. Simulation results are included that illustrate the performance of the proposed solution.
  • Keywords
    Kalman filters; losses; radio access networks; telecommunication network routing; time-varying filters; wireless LAN; Kalman filter; RSSI; localization system; logarithmic measurement; nonlinear system; path loss model; received signal strength indication; router-access point; wireless local area network; IEEE 802.11 Standards; Noise; Noise measurement; Nonlinear systems; Observability; Time-varying systems; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (MED), 2013 21st Mediterranean Conference on
  • Conference_Location
    Chania
  • Print_ISBN
    978-1-4799-0995-7
  • Type

    conf

  • DOI
    10.1109/MED.2013.6608878
  • Filename
    6608878