• DocumentCode
    567588
  • Title

    Combining of redundant signal strength readings for an improved RF localization in multipath indoor environments

  • Author

    Fink, Andreas ; Beikirch, Helmut

  • Author_Institution
    Dept. of Comput. Sci. & Electr. Eng., Rostock Univ., Rostock, Germany
  • fYear
    2012
  • fDate
    9-12 July 2012
  • Firstpage
    1308
  • Lastpage
    1314
  • Abstract
    Multipath signal fading is a fundamental problem when using received signal strength (RSS) readings as sensor for a range-based indoor localization. Redundant RF transceivers with a simultaneous use of spatial and frequency diversity enable a compensation of multipath fading effects for more precise distance and position estimations. A novel maximum probability combining technique for a sensor fusion of the RSS readings of up to eight redundant and decorrelated RF channels is proposed. Experimental results on a one-dimensional motion test track are used to evaluate the improved localization performance compared to a maximum signal combining and the accuracy of a position estimation without redundancy.
  • Keywords
    diversity reception; indoor communication; probability; radio transceivers; sensor fusion; sensor placement; wireless sensor networks; frequency diversity; improved RF localization; maximum probability combining technique; multipath indoor environments; multipath signal fading; position estimation; range based indoor localization; received signal strength; redundant RF transceivers; redundant signal strength reading; sensor fusion; spatial diversity; Diversity reception; Fading; Frequency diversity; Loss measurement; Radio frequency; Rician channels; Transceivers; Indoor Localization; Multimodal Diversity Combining; Multipath Fading Compensation; Object Tracking; RealTime Positioning; Received Signal Strength;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2012 15th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4673-0417-7
  • Electronic_ISBN
    978-0-9824438-4-2
  • Type

    conf

  • Filename
    6289958