• DocumentCode
    3253026
  • Title

    Derivation and Analysis of an Adaptive Detector With Enhanced Mismatched Signals Rejection Capabilities

  • Author

    Bandiera, Francesco ; Besson, Olivier ; Orlando, Danilo ; Ricci, Giuseppe

  • Author_Institution
    Univ. del Salento, Lecce
  • fYear
    2007
  • fDate
    4-7 Nov. 2007
  • Firstpage
    2182
  • Lastpage
    2186
  • Abstract
    We consider the problem of adaptive radar detection with a view to provide a detector with high sidelobe signals rejection capabilities. Towards this end, we consider a modification of the adaptive beamformer orthogonal rejection test by enforcing the presence of a fictitious signal under the null hypothesis, orthogonal to the presumed target signature in the whitened space. We derive the generalized likelihood ratio test for this problem and provide analytical expressions for its probability of false alarm and probability of detection, for both matched and mismatched signals. The new detector is shown to offer very good performance in terms of mismatched signals rejection.
  • Keywords
    adaptive radar; radar detection; radar signal processing; adaptive beamformer orthogonal rejection test; adaptive detector; adaptive radar detection; enhanced mismatched signals rejection capability; generalized likelihood ratio test; sidelobe signals rejection capability; target signature; Adaptive signal detection; Covariance matrix; Detection algorithms; Detectors; Face detection; Radar detection; Robustness; Signal analysis; Signal detection; Testing; Adaptive radar detection; generalized likelihood ratio test; mismatched signals rejection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2109-1
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2007.4487627
  • Filename
    4487627