• DocumentCode
    1384241
  • Title

    Modified GLRT signal detection algorithm

  • Author

    Ayoub, T.F. ; Haimovich, A.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
  • Volume
    36
  • Issue
    3
  • fYear
    2000
  • fDate
    7/1/2000 12:00:00 AM
  • Firstpage
    810
  • Lastpage
    818
  • Abstract
    The problem of signal detection in unknown Gaussian interference utilizing an adaptive array is considered here. Two modified generalized likelihood ratio test (GLRT) detectors are suggested that improve on the performance of Kelly´s GLRT when the interference has low-rank property and the sample support for estimating the array covariance matrix is limited. Under these adverse conditions, the sample covariance matrix might be ill conditioned. This problem may be overcome either by diagonal loading of the covariance matrix or rank reduction of the data. The two modified GLRT detectors are referred to as loaded GLRT (L-GLRT) and reduced-rank GLRT (RR-GLRT), respectively. Expressions are developed for the probabilities of false alarm and detection. The advantage of the proposed detectors is illustrated by numerical examples
  • Keywords
    adaptive antenna arrays; adaptive signal detection; array signal processing; covariance matrices; interference (signal); probability; target tracking; Gaussian interference; adaptive array; array covariance matrix; diagonal loading; false alarm; interference; low-rank property; modified GLRT algorithm; modified generalized likelihood ratio test detectors; probabilities; rank reduction; reduced-rank GLRT; sample covariance matrix; signal detection; signal detection algorithm; Adaptive arrays; Background noise; Clutter; Covariance matrix; Detectors; Interference; Radar detection; Signal detection; Signal processing algorithms; Testing;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.869498
  • Filename
    869498