• DocumentCode
    1457348
  • Title

    A parametric method for determining the number of signals in narrow-band direction finding

  • Author

    Wu, Qiang ; Fuhrmann, Daniel R.

  • Author_Institution
    Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
  • Volume
    39
  • Issue
    8
  • fYear
    1991
  • fDate
    8/1/1991 12:00:00 AM
  • Firstpage
    1848
  • Lastpage
    1857
  • Abstract
    A novel and more accurate method to determine the number of signals in the multisource direction finding problem is developed. The information-theoretic criteria of Y. Yin and P. Krishnaiah (1988) are applied to a set of quantities which are evaluated from the log-likelihood function. Based on proven asymptotic properties of the maximum likelihood estimation, these quantities have the properties required by the criteria. Since the information-theoretic criteria use these quantities instead of the eigenvalues of the estimated correlation matrix, this approach possesses the advantage of not requiring a subjective threshold, and also provides higher performance than when eigenvalues are used. Simulation results are presented and compared to those obtained from the nonparametric method given by H. Wax and T. Kailath (1985)
  • Keywords
    parameter estimation; signal processing; array processing; information-theoretic criteria; log-likelihood function; multisource direction finding; narrow-band direction finding; number of signals; parametric method; Direction of arrival estimation; Eigenvalues and eigenfunctions; Maximum likelihood estimation; Multiple signal classification; Narrowband; Passive radar; Signal processing; Signal processing algorithms; Signal resolution; Testing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.91155
  • Filename
    91155