• DocumentCode
    629504
  • Title

    Localization of unknown indoor wireless transmitter

  • Author

    Abd Rahman, Mohd Amiruddin ; Dashti, Mina ; Jie Zhang

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. of Sheffield, Sheffield, UK
  • fYear
    2013
  • fDate
    25-27 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Many management tasks, for instance optimizing placement of a new Wi-Fi or femtocell access points (AP), or detecting unauthorized transmitter (Tx), requires the ability to locate individual Tx inside buildings. Available techniques to locate Txs require extensive war driving measurements and significant computations, or complex and additional hardware. This paper presents a time-efficient method, based on only collected received signal strength (RSS) data to estimate the location of unknown Tx installed inside a multi-storey building. Three-stage algorithm is proposed. Firstly, the building´s location from which the signal is transmitted from, is defined on the area map. Secondly, the floor level of the determined building on which the unknown Tx is installed, is determined. Finally, 2-dimensional location coordinates of Tx and the path loss parameters are jointly estimated. The method is evaluated using realistic simulated data obtained from iBuildNet® wireless network design and optimization tool developed by Ranplan. The simulation results confirm that developed algorithm works accurately and is especially helpful to locate an unknown Tx in changing and unknown environments.
  • Keywords
    femtocellular radio; indoor radio; radio networks; radio transmitters; telecommunication network management; wireless LAN; Ranplan; Wi-Fi; femtocell access points; iBuildNet; indoor wireless transmitter; optimization tool; received signal strength data; wireless network design; Availability; Buildings; Equations; Estimation; Mathematical model; Propagation losses; Shadow mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Localization and GNSS (ICL-GNSS), 2013 International Conference on
  • Conference_Location
    Turin
  • ISSN
    2325-0747
  • Print_ISBN
    978-1-4799-0484-6
  • Type

    conf

  • DOI
    10.1109/ICL-GNSS.2013.6577270
  • Filename
    6577270