• DocumentCode
    76520
  • Title

    Fluctuating Target Detection in Fluctuating K -Distributed Clutter

  • Author

    Abramovich, Yuri I. ; Besson, Olivier

  • Author_Institution
    W.R. Syst., Ltd., Fairfax, VA, USA
  • Volume
    22
  • Issue
    10
  • fYear
    2015
  • fDate
    Oct. 2015
  • Firstpage
    1791
  • Lastpage
    1795
  • Abstract
    This letter deals with the problem of fluctuating target detection in heavy-tailed K-distributed clutter over a number T of independent coherent intervals, e.g., in the case of a long observation interval (“stare mode”), or that of independent (range) resolution cells as per the track before detect techniques. The generalized likelihood ratio test for the problem at hand is derived, as well as an approximation of it, whose distribution under the null hypothesis is derived. We also show some significant differences as compared to the usual Gaussian case, in particular the influence of T and of the shape parameter of the K distribution.
  • Keywords
    object detection; radar clutter; radar signal processing; statistical distributions; target tracking; fluctuating target detection; generalized likelihood ratio test; heavy-tailed k-distributed clutter; null hypothesis; shape parameter; Approximation methods; Clutter; Detectors; Maximum likelihood estimation; Noise; Object detection; Shape; $K$ distributed noise; Adaptive detection; generalized likelihood ratio test;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2015.2436972
  • Filename
    7112114