• DocumentCode
    774452
  • Title

    The multifamily likelihood ratio test for multiple signal model detection

  • Author

    Kay, Steven M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Rhode Island, Kingston, RI, USA
  • Volume
    12
  • Issue
    5
  • fYear
    2005
  • fDate
    5/1/2005 12:00:00 AM
  • Firstpage
    369
  • Lastpage
    371
  • Abstract
    The generalized likelihood ratio test (GLRT) is a standard tool for designing signal detectors. It produces detectors that perform well when the signal model is known, except for a fixed set of signal parameters. However, it is unable to accommodate multiple signal models. We introduce the multifamily likelihood ratio test, which extends the GLRT and alleviates this limitation.
  • Keywords
    maximum likelihood detection; pattern classification; signal classification; signal resolution; GLRT; generalized likelihood ratio test; multifamily likelihood ratio test; multiple signal model detection; pattern classification; signal parameter; signal resolution; standard tool; Detectors; Gaussian noise; Maximum likelihood estimation; Pattern classification; Signal design; Signal detection; Signal processing; Signal resolution; Statistical analysis; Testing; Modeling; pattern classification; signal detection; signal resolution;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2005.845590
  • Filename
    1420342