• DocumentCode
    3705173
  • Title

    Using Wi-Fi/magnetometers for indoor location and personal navigation

  • Author

    Yuqi Li;Zhe He;John Nielsen;G?rard Lachapelle

  • Author_Institution
    PLAN Group, Department of Geomatics Engineering, University of Calgary, Canada
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    New location algorithms using Wi-Fi or/and magnetometer sensors are proposed considering the orientation impact on the measurements. The feasibility of magnetometer alone fingerprint positioning and orientation inference is also assessed with real indoor data. Android smart devices with low cost sensors are used to build up database along with a Gaussian Processes Regression (GPR) model and to collect independent track test to validate results. The corresponding performance of various solutions such as Wi-Fi alone, magnetometer alone and the magnetometer-aided Wi-Fi are compared. The effects of user´s orientation on Wi-Fi signal strength, sensed magnetic fields and overall positioning results in real indoor office-like scenarios are also assessed and investigated.
  • Keywords
    "Magnetic field measurement","Magnetic fields","Fingerprint recognition","Magnetometers","Training","IEEE 802.11 Standard","Databases"
  • Publisher
    ieee
  • Conference_Titel
    Indoor Positioning and Indoor Navigation (IPIN), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/IPIN.2015.7346764
  • Filename
    7346764