• DocumentCode
    2854371
  • Title

    A Bayesian approach to tracking wideband targets using sensor arrays and particle filters

  • Author

    Ng, William ; Reilly, James P. ; Kirubarajan, Thia

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
  • fYear
    2003
  • fDate
    28 Sept.-1 Oct. 2003
  • Firstpage
    510
  • Lastpage
    513
  • Abstract
    This paper presents a Bayesian approach for tracking the directions-of-arrival (DOAs) of multiple wideband moving targets using a linear, passive sensor array, for use in smart antenna wireless applications, for example. A novel form of posterior distribution describing the parameters of the received signal is developed. The nuisance parameters (source amplitudes and variances) of this distribution are integrated out to form a more computationally efficient estimator. The desired parameters are then tracked using particle filtering techniques. Simulation results demonstrate the effectiveness and robustness of this method.
  • Keywords
    Bayes methods; array signal processing; direction-of-arrival estimation; filtering theory; target tracking; Bayesian approach; DOA; directions-of-arrival; efficient estimator; linear passive sensor array; nuisance parameters; particle filtering techniques; posterior distribution; smart antenna wireless applications; wideband target tracking; Bayesian methods; Broadband antennas; Directive antennas; Intelligent sensors; Linear antenna arrays; Particle filters; Particle tracking; Sensor arrays; Target tracking; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2003 IEEE Workshop on
  • Print_ISBN
    0-7803-7997-7
  • Type

    conf

  • DOI
    10.1109/SSP.2003.1289459
  • Filename
    1289459