• DocumentCode
    2263770
  • Title

    A Bayesian Approach for RF-Based Indoor Localisation

  • Author

    Widyawan ; Klepal, Martin ; Pesch, Dirk

  • Author_Institution
    Cork Inst. of Technol., Cork
  • fYear
    2007
  • fDate
    17-19 Oct. 2007
  • Firstpage
    133
  • Lastpage
    137
  • Abstract
    The proliferation of Wireless LAN and Wireless Sensor Network make the technologies become an attractive proposition for indoor localisation. Both technologies have provided communication infrastructure and hence RF-based localisation with WLAN and WSN becomes a software-only solution. WLAN-based localisation generally provides room accuracy, therefore sensor data fusion with WSN is proposed when better location accuracy is needed. This paper will describe a Bayesian approach for indoor localisation. A suboptimal sequential Bayesian method of Particle Filter combined with Map Filtering technique is used for sensor data fusion between WLAN and WSN. The location system performance also will be evaluated.
  • Keywords
    Bayes methods; indoor radio; maximum likelihood estimation; particle filtering (numerical methods); sensor fusion; wireless LAN; wireless sensor networks; RF-based indoor localisation; map filtering technique; particle filter technique; sensor data fusion; suboptimal sequential Bayesian method; wireless LAN; wireless sensor network; Bayesian methods; Calibration; Databases; Filtering; Navigation; Particle filters; Sensor fusion; Sensor phenomena and characterization; Wireless LAN; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communication Systems, 2007. ISWCS 2007. 4th International Symposium on
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-0979-2
  • Electronic_ISBN
    978-1-4244-0979-2
  • Type

    conf

  • DOI
    10.1109/ISWCS.2007.4392316
  • Filename
    4392316