• DocumentCode
    1459450
  • Title

    Reliability considerations of multi-sensor multi-network pedestrian navigation

  • Author

    Kuusniemi, H. ; Liu, J. ; Pei, L. ; Chen, Y. ; Chen, L. ; Chen, R.

  • Author_Institution
    Dept. of Navig. & Positioning, Finnish Geodetic Inst., Kirkkonummi, Finland
  • Volume
    6
  • Issue
    3
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    157
  • Lastpage
    164
  • Abstract
    This study discusses a simple multi-sensor multi-network positioning system that integrates global positioning satellite (GPS) measurements, accelerometers and a digital compass with wireless network localisation utilising a pedestrian motion model and dead reckoning. The feasibility of the multi-technology system for seamless outdoor to indoor pedestrian navigation is discussed with the emphasis on reliability issues and adaptability requirements. The multi-sensor multi-network positioning system is developed for challenging navigation environments such as indoors and deep urban canyons. This study considers how to estimate and improve such a multi-sensor multi-network system´s reliability and estimate its accuracy. An outdoor to indoor pedestrian test is conducted. Adaptive filtering performance of the multi-technology solution as well as general measurement quality monitoring and error detection when an over-determined solution is at hand is shown. Reliability estimation utilising adaptation in the form of environment detection to estimate the final positioning accuracy is also presented.
  • Keywords
    pedestrians; radionavigation; sensor fusion; adaptability requirements; dead reckoning; digital compass; multi sensor multi network pedestrian navigation; multitechnology system; pedestrian motion model; reliability considerations; reliability estimation; wireless network localisation;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar & Navigation, IET
  • Publisher
    iet
  • ISSN
    1751-8784
  • Type

    jour

  • DOI
    10.1049/iet-rsn.2011.0247
  • Filename
    6159149