• DocumentCode
    7943
  • Title

    A Tunable W-ABORT-Like Detector with Improved Detection vs Rejection Capabilities Trade-Off

  • Author

    Coluccia, Angelo ; Ricci, Giuseppe

  • Author_Institution
    Dipt. di Ing. dell´Innovazione, Univ. of Salento, Lecce, Italy
  • Volume
    22
  • Issue
    6
  • fYear
    2015
  • fDate
    Jun-15
  • Firstpage
    713
  • Lastpage
    717
  • Abstract
    Adaptive radar detection of point-like targets in presence of disturbance with unknown spectral properties is addressed. By relaxing the assumptions of the W-ABORT, a tunable detector with improved detection vs rejection trade-off is proposed. To this aim, the presence of a fictitious signal under the null hypothesis is modeled probabilistically, so that an additional degree of freedom is introduced in the statistic of the detector. The resulting parametric GLRT shows a range of possible behaviors, from Kelly´s detector to the plain W-ABORT. Monte Carlo simulations reveal that an improved compromise can be obtained. Simple closed-form approximations are also given with near-optimal performance, so that the ultimate computational complexity remains comparable to that of the W-ABORT.
  • Keywords
    Monte Carlo methods; adaptive signal detection; object detection; radar detection; Kelly detector; Monte Carlo simulations; adaptive radar detection; closed-form approximations; degree of freedom; disturbance; fictitious signal; improved detection trade-off; near-optimal performance; null hypothesis; parametric GLRT; point-like target detection; rejection capabilities trade-off; tunable W-ABORT-like detector; ultimate computational complexity; unknown spectral properties; Approximation methods; Covariance matrices; Detectors; Radar detection; Signal to noise ratio; ABORT; GLRT; adaptive radar detection; rejection capabilities;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2364395
  • Filename
    6933897