• DocumentCode
    717553
  • Title

    A TOA-Based Geolocation Algorithm Utilizing Convex Combination

  • Author

    Xiaorui Gong ; Jianhua Peng ; Kaizhi Huang ; Yajun Chen

  • Author_Institution
    China Nat. Digital Switching Syst. Eng. & Technol. R&D Center, Zhengzhou, China
  • fYear
    2015
  • fDate
    11-14 May 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In the wireless position techniques for cellular networks, the traditional geolocation algorithms have been researched because of the advantage low complexity, however the representative LLOP algorithm does not well performed in the cellular networks since it is constrained with the geometry relationship between mobile station and the base stations. For the low accuracy problem of LLOP algorithm, we have proposed a TOA-based geolocation algorithm utilizing convex combination. The method introduces convex combination theory, which the convex combination of a set of coarse position estimations can be used to generate position estimation with higher accuracy, and proposes a linearized procedure to calculate the convex combination coefficients. Simulation results verify that the proposed algorithm decreases the position error by 6.19%, 7.51% and 40.97% compared with LLS- MLE algorithm, LLOP-LS algorithm and LLOP algorithm respectively when the number of base stations is 5 and the measurement noise standard deviation is 50m.
  • Keywords
    cellular radio; mobile communication; time-of-arrival estimation; LLOP algorithm; LLOP-LS algorithm; LLS- MLE algorithm; TOA-based geolocation algorithm; cellular networks; convex combination theory; position estimation; wireless position techniques; Accuracy; Complexity theory; Geology; Maximum likelihood estimation; Noise; Noise measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
  • Conference_Location
    Glasgow
  • Type

    conf

  • DOI
    10.1109/VTCSpring.2015.7145655
  • Filename
    7145655