• DocumentCode
    3282411
  • Title

    Delay Estimation for Two Objects by Using Blind Beamforming on a Randomly Distributed Sensor Array

  • Author

    Awad, Ali S. ; Tureli, Ufuk

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ
  • fYear
    2006
  • fDate
    22-24 March 2006
  • Firstpage
    398
  • Lastpage
    401
  • Abstract
    In this paper we propose a new method to determine the time difference of arrivals (TDOAs) for two objects. Using the estimation of TDOAs and the known algorithms such as least square (LS) or constrained least square (CLS), we can determine the locations of the two objects simultaneously. The main contribution is to determine the eigen vectors that are close to the received signals, based on the minimum error criteria. Two eigen vectors are selected by this method, where each is used to estimate TDOAs for corresponding source. Simulation results indicate that this method yields accurate performance, with most, if not all, of the estimated TDOA values are identical to the original ones, for different source locations.
  • Keywords
    array signal processing; delay estimation; distributed sensors; eigenvalues and eigenfunctions; time-of-arrival estimation; TDOA; blind beamforming; delay estimation; eigen vector; minimum error criteria; randomly distributed sensor array; source location; time difference of arrival; Application software; Array signal processing; Delay estimation; Geometry; Least squares approximation; Position measurement; Radar signal processing; Sensor arrays; Sonar detection; Time difference of arrival; Beamforming; Eigen vector; Minimum Error; Two-Source Localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems, 2006 40th Annual Conference on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    1-4244-0349-9
  • Electronic_ISBN
    1-4244-0350-2
  • Type

    conf

  • DOI
    10.1109/CISS.2006.286499
  • Filename
    4067840