• DocumentCode
    1496234
  • Title

    A Factor-Graph-Based TOA Location Estimator

  • Author

    Jhi, Hwa-lu ; Chen, Jung-Chieh ; Lin, Chih-Hung ; Huang, Chin-Tseng

  • Author_Institution
    Dept. & Inst. of Electr. Eng., Minghsin Univ. of Sci. & Technol., Hsinchu, Taiwan
  • Volume
    11
  • Issue
    5
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    1764
  • Lastpage
    1773
  • Abstract
    A high-accuracy and low-complexity TOA-based algorithm is proposed to estimate mobile station (MS) location. First, a factor-graph-based distributive approach is used, which can work in a multi-state system as well. By effectively exchanging the available soft-information or stochastic property of the variables, this distributive approach can perform almost as well as conventional algorithm while requiring much less computational workload. Second, data screening method was applied to reduce complexity and data discrimination to improve accuracy. Simulation results demonstrate that this approach can maintain good accuracy while achieving low complexity. Since this approach is accurate and easy to implement, it will better satisfy the demands of real applications.
  • Keywords
    mobile radio; stochastic processes; time-of-arrival estimation; data screening method; factor-graph-based time-of-arrival location estimator; mobile station location estimation; multi-state system; stochastic property; Accuracy; Equations; Kalman filters; Mathematical model; Noise measurement; Smoothing methods; Vectors; Kalman filter; TOA; data discrimination; data screening; extended Kalman filter; factor graph; location tracking; soft-information; sum-product algorithm;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2012.040412.110520
  • Filename
    6184261