• DocumentCode
    3370128
  • Title

    A new in-door location detection method adopting learning algorithms

  • Author

    Ogawa, T. ; Yoshino, S. ; Shimizu, M. ; Suda, H.

  • Author_Institution
    Wireless Network Innovation Lab., NTT Network Innovation Labs., Japan
  • fYear
    2003
  • fDate
    26-26 March 2003
  • Firstpage
    525
  • Lastpage
    530
  • Abstract
    This new location detection method uses wireless LAN systems. The location of the user station is established using the received intensity at a user station of signals from wireless base stations. The method employs two unique concepts. 1) Instead of a discrete coordinate position to define the location of user station, the location is found by using a localized area. 2) The learning algorithms based on LVQ (learning vector quantization) are applied to process in location. As a result, our method provides more accurate positions compared with conventional least squares method (LSM) methods in areas far from the base points.
  • Keywords
    learning (artificial intelligence); vector quantisation; wireless LAN; discrete coordinate position; in-door location detection method; learning algorithms; learning vector quantization; localized area; received intensity; signals; user station location; wireless LAN systems; wireless base stations; Pervasive computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications, 2003. (PerCom 2003). Proceedings of the First IEEE International Conference on
  • Conference_Location
    Fort Worth, TX
  • Print_ISBN
    0-7695-1893-1
  • Type

    conf

  • DOI
    10.1109/PERCOM.2003.1192784
  • Filename
    1192784