• DocumentCode
    1093120
  • Title

    Asymptotic performance analysis of information-theoretic criteria for determining the number of signals in spatially correlated noise

  • Author

    Zhang, Q.T.

  • Volume
    42
  • Issue
    6
  • fYear
    1994
  • fDate
    6/1/1994 12:00:00 AM
  • Firstpage
    1537
  • Lastpage
    1539
  • Abstract
    A new information-theoretic criterion for the determination of the number of signals in unknown correlated noise was derived in Zhang and Wong (1993) supported with computer simulations. In the present correspondence, the theoretic performance of the criterion is presented. The authors establish a simple expression, in a closed form, for the probability of correct estimation by the criterion. Then on this basis, they analyze its consistency properties, showing that the criterion is consistent if the penalty coefficient α=(1/2)logN and inconsistent if α=1
  • Keywords
    array signal processing; information theory; parameter estimation; asymptotic performance analysis; consistency properties; correct estimation; information-theoretic criteria; penalty coefficient; probability; spatially correlated noise; Array signal processing; Computer simulation; Covariance matrix; Gaussian noise; Performance analysis; Sensor arrays; Signal processing; Signal resolution; Vectors; Working environment noise;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.286969
  • Filename
    286969