• DocumentCode
    1810668
  • Title

    Experimental Activity on Cooperative Mobile Positioning in Indoor Environments

  • Author

    Rosa, Francescantonio D. ; Wardana, Satya A. ; Mayorga, Carlos L Flores ; Simone, Gianluca ; Raynal, Marie C Naima ; Figueiras, João ; Frattasi, Simone

  • Author_Institution
    Institute of Electronic Systems, Aalborg University, Aalborg, DK-9220, Denmark
  • fYear
    2007
  • fDate
    18-21 June 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Traditional localization systems are based on the information obtained from some fixed reference points (e.g., Access Points (APs)) to Mobile Station (MS) links; typically for short-range, Received Signal Strength Difference (RSSD) or Received Signal Strength (RSS) measurements are used. In order to enhance the accuracy of localization systems indoors, the innovative solution presented in this paper considers also the information obtained from MS-MS links. A proof of concept in a real scenario is implemented in an indoor environment by using a Wireless Local Area Network (WLAN), and the results show that the accuracy is enhanced with respect to non-cooperative schemes. Non-Linear Least Square (NLLS) and Extended Kalman Filter (EKF) are used as data fusion algorithms to combine RSSD measurements from AP-MS links and RSS measurements from MS-MS links.
  • Keywords
    Computer networks; Computer vision; Fiber reinforced plastics; Indoor environments; Intelligent transportation systems; Mobile antennas; Performance evaluation; Position measurement; Receiving antennas; Wireless LAN; Cooperation; Data Fusion; Extended Kalman Filter (EKF); Localization; Non-Linear Least Square (NLLS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World of Wireless, Mobile and Multimedia Networks, 2007. WoWMoM 2007. IEEE International Symposium on a
  • Conference_Location
    Espoo, Finland
  • Print_ISBN
    978-1-4244-0993-8
  • Electronic_ISBN
    978-1-4244-0993-8
  • Type

    conf

  • DOI
    10.1109/WOWMOM.2007.4351702
  • Filename
    4351702