• DocumentCode
    1515402
  • Title

    A Rao Test With Enhanced Selectivity Properties in Homogeneous Scenarios

  • Author

    Orlando, Danilo ; Ricci, Giuseppe

  • Author_Institution
    DAEIMI, Univ. degli Studi di Cassino, Cassino, Italy
  • Volume
    58
  • Issue
    10
  • fYear
    2010
  • Firstpage
    5385
  • Lastpage
    5390
  • Abstract
    This correspondence focuses on the design of a selective receiver for homogeneous scenarios. To this end, at the design stage it is assumed that the cell under test contains a noise-like interferer in addition to thermal noise, clutter, and to the possible signal of interest; a set of secondary data, free of signal components, is available: such data share a common covariance matrix that is equal to that of thermal noise plus clutter in the cell under test. Under the above assumptions, an adaptive detector implementing the RAO test is designed. A preliminary performance assessment, conducted assuming that the cell under test and the secondary data share one and the same covariance matrix of the overall disturbance (including possible noise-like interferers), shows that the newly proposed detector can provide enhanced rejection capabilities with respect to its natural competitor (the W-ABORT). It can also outperform the W-ABORT for matched signals.
  • Keywords
    covariance matrices; radar clutter; radar detection; radar interference; radar receivers; thermal noise; Rao test; adaptive detection; clutter; covariance matrix; disturbance; noise-like interference; selective receiver; signal interference; thermal noise; Adaptive signal detection; Clutter; Covariance matrix; Detectors; Gaussian noise; Permission; Radar detection; Radar scattering; Signal design; Testing; Adaptive radar detection; Rao test design criterion; constant false alarm rate (CFAR); mismatched signals;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2010.2053032
  • Filename
    5484482