• DocumentCode
    39183
  • Title

    RSS-Based Sensor Localization in the Presence of Unknown Channel Parameters

  • Author

    Gholami, Mohammad Reza ; Vaghefi, R.M. ; Strom, Erik G.

  • Author_Institution
    Dept. of Signals & Syst., Chalmers Univ. of Technol., Gothenburg, Sweden
  • Volume
    61
  • Issue
    15
  • fYear
    2013
  • fDate
    Aug.1, 2013
  • Firstpage
    3752
  • Lastpage
    3759
  • Abstract
    This correspondence studies the received signal strength-based localization problem when the transmit power or path-loss exponent is unknown. The corresponding maximum-likelihood estimator (MLE) poses a difficult nonconvex optimization problem. To avoid the difficulty in solving the MLE, we use suitable approximations and formulate the localization problem as a general trust region subproblem, which can be solved exactly under mild conditions. Simulation results show a promising performance for the proposed methods, which also have reasonable complexities compared to existing approaches.
  • Keywords
    concave programming; maximum likelihood estimation; signal processing; MLE; RSS-based sensor localization; approximations; general trust region subproblem; maximum-likelihood estimator; nonconvex optimization problem; received signal strength-based localization problem; unknown channel parameters; General trust region subproblem; localization; path-loss exponent; received signal strength; transmit power; wireless sensor network;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2013.2260330
  • Filename
    6509479