• DocumentCode
    256241
  • Title

    Assessment of Cramer-Rao lower bounds of WLAN user location estimation

  • Author

    Naik, U. ; Bapat, V.N.

  • Author_Institution
    Telecommun. Eng. Dept., KLEDRMS Sheshgiri Coll. of Eng. & Technol., Belgaum, India
  • fYear
    2014
  • fDate
    22-24 Dec. 2014
  • Firstpage
    129
  • Lastpage
    132
  • Abstract
    The location estimation techniques based on wireless local area network (WLAN) have received increasing attention in recent years. To obtain location information, localization methods employing received signal strength (RSS) are widely used. This paper describes Cramer-Rao lower bounds (CRLB) of WLAN user location estimation in an auditorium. The physical layout of the auditorium is substantially different when comapared to the usual halls. The CRLBs are computed using real time radio signal strength measurements performed by user´s mobile terminal. The distance error lower bound provides the reference for the accuracy of node localization. The numerical results shows that the mean location error is 1.95 m and is better as compared to the localization technique using linear least square estimate. The simulation results also demonstrate that the location accuracy improves for higher values of path loss exponent. Future directions of research are indicated.
  • Keywords
    RSSI; estimation theory; least squares approximations; wireless LAN; Cramer-Rao lower bounds; RSS; WLAN user location estimation; linear least square estimate; location information; node localization; path loss exponent; physical layout; radio signal strength measurements; received signal strength; user mobile terminal; wireless local area network; Atmospheric measurements; Estimation; Fingerprint recognition; Geology; Standards; Wireless LAN; Wireless communication; CRLB; location estimation; pathloss exponent; received signal strength; wireless local area network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Computing and Networking (GCWCN), 2014 IEEE Global Conference on
  • Conference_Location
    Lonavala
  • Type

    conf

  • DOI
    10.1109/GCWCN.2014.7030863
  • Filename
    7030863