• DocumentCode
    3253793
  • Title

    Genetic algorithm based efficient positioning error compensation technique with low computational complexity

  • Author

    Bae, Seung Chun ; Park, Jae Wook ; Lee, Won Cheol

  • Author_Institution
    Sch. of Electron. Eng., Soongsil Univ., Seoul, South Korea
  • fYear
    2009
  • fDate
    23-26 Jan. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    To alleviate positioning error using wireless ultra wideband (UWB) is primary concern, and it has been studied how to reduce the positioning error effectively. Thanks to many repeated transmissions of UWB signals, we can have a variety of selections to point out the most precise positioning result. Towards this, scanning method has been preferred to be used due to its simplicity. This exhaustive method firstly fixes the candidate position, and calculates the sum of distances from observed positions. However, it has tremendous number of computations, and the complexity is more serious if the size of two-dimensional range is the larger. To mitigate the large number of computations, this paper proposes the technique employing genetic algorithm. To exploit its superiority, simulations will be conducted to show the reduction of complexity, and the efficiency on positioning capability.
  • Keywords
    genetic algorithms; ultra wideband communication; UWB signal transmission; genetic algorithm; positioning error compensation technique; scanning method; wireless ultra wideband; Cities and towns; Computational complexity; Computational modeling; Error analysis; Error compensation; Genetic algorithms; Genetic engineering; Medical services; Pervasive computing; Ultra wideband technology; Genetic algorithm; Positioning; Scanning method; UWB;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2009 - 2009 IEEE Region 10 Conference
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-4546-2
  • Electronic_ISBN
    978-1-4244-4547-9
  • Type

    conf

  • DOI
    10.1109/TENCON.2009.5395935
  • Filename
    5395935