• DocumentCode
    539940
  • Title

    Static positioning using UWB range measurements

  • Author

    Gholami, Mohammad Reza ; Ström, Erik G. ; Sottile, Francesco ; Dardari, Davide ; Conti, Andrea ; Gezici, Sinan ; Rydström, Mats ; Spirito, Maurizio A.

  • Author_Institution
    Dept. Signals & Syst., Chalmers Univ. of Tech., Gothenburg, Sweden
  • fYear
    2010
  • fDate
    16-18 June 2010
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    The performance of several existing and partly new algorithms for positioning of sensor node based on distance estimate is compared when the distance estimates are obtained from a measurement campaign. The distance estimates are based on time-of-arrival measurements done by ultrawideband devices in an indoor office environment. Two different positioning techniques are compared: statistical and geometrical. In statistical category, distributed weighted-multidimensional scaling (dwMDS), least squares, and sum product algorithm are evaluated and in geometrical technique projections approach and outer approximation (OA) method are investigated. No method shows the best performance in all cases, while in many situations, sum product algorithm, dwMDS, nonlinear least square, projection approach, OA, and weighted least square work well.
  • Keywords
    distance measurement; estimation theory; least squares approximations; statistical analysis; time-of-arrival estimation; ultra wideband communication; UWB range measurement; distributed weighted multidimensional scaling; geometrical technique projections approach; nonlinear least square method; outer approximation method; sensor node; static positioning; sum product algorithm; time of arrival measurement; ultrawideband device; wireless sensor network; Cost function; Distance measurement; Inference algorithms; Least squares approximation; Mathematical model; Position measurement; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Network and Mobile Summit, 2010
  • Conference_Location
    Florence
  • Print_ISBN
    978-1-905824-16-8
  • Type

    conf

  • Filename
    5722410