• DocumentCode
    3389459
  • Title

    A persymmetric detector with enhanced selectivity properties

  • Author

    Chengpeng Hao ; Chaohuan Hou ; Xiaochuan Ma ; Shefeng Yan ; Orlando, Danilo

  • Author_Institution
    State Key Lab. of Acoust., Inst. of Acoust., Beijing, China
  • fYear
    2013
  • fDate
    1-3 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we deal with the problem of adaptive detection of point-like targets in Gaussian disturbance with unknown but persymmetric structured covariance matrix induced by a symmetric antenna geometry. In particular, at the design stage we modify the noise-only hypothesis assuming the presence of a fictitious signal orthogonal to the nominal one. The performance assessment, conducted by Monte Carlo simulation, has shown that the proposed receiver can significantly outperform its unstructured counterpart and guarantee enhanced rejection performance of unwanted signals.
  • Keywords
    Monte Carlo methods; covariance matrices; object detection; Gaussian disturbance; Monte Carlo simulation; antenna geometry; covariance matrix; noise-only hypothesis; persymmetric detector; point-like targets adaptive detection; Covariance matrices; Detectors; Monte Carlo methods; Receivers; Signal to noise ratio; Vectors; Adaptive detection; generalized likelihood ratio test (GLRT); persymmetry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing (DSP), 2013 18th International Conference on
  • Conference_Location
    Fira
  • ISSN
    1546-1874
  • Type

    conf

  • DOI
    10.1109/ICDSP.2013.6622785
  • Filename
    6622785