• DocumentCode
    1558911
  • Title

    Adaptive polarimetric target detection with coherent radar. II. Detection against non-Gaussian background

  • Author

    Lombardo, P. ; Pastina, D. ; Bucciarelli, T.

  • Author_Institution
    INFOCOM Dept., Rome Univ., Italy
  • Volume
    37
  • Issue
    4
  • fYear
    2001
  • fDate
    10/1/2001 12:00:00 AM
  • Firstpage
    1207
  • Lastpage
    1220
  • Abstract
    For pt. I see ibid., vol. 37, no. 4, pp. 1194-1206 (2001).This paper presents the derivation of a polarimetric coherent adaptive scheme to detect a radar target against a non-Gaussian background. This completes the results presented in Part I for the Gaussian background. A Texture Free-Generalized Likelihood Ratio Test (TF-GLRT) detector is derived that exploits the polarimetric characteristics of the received radar echoes to improve the detection performance. The proposed polarimetric detector is shown to have Constant False Alarm Rate (CFAR) when operating against compound-Gaussian clutter with unknown parameters. Its performance is fully characterized by both theoretical analysis and simulation. Moreover, the application to recorded radar data demonstrates the performance improvement achievable in practice
  • Keywords
    adaptive signal detection; covariance matrices; maximum likelihood detection; probability; radar clutter; radar detection; radar polarimetry; search radar; CFAR; adaptive polarimetric target detection; coherent radar; compound-Gaussian clutter; joint probability density function; non-Gaussian background; normalized clutter covariance matrix; received radar echoes; texture free-generalized likelihood ratio test; Analytical models; Associate members; Detectors; Object detection; Performance analysis; Radar applications; Radar clutter; Radar detection; Radar polarimetry; Testing;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.976960
  • Filename
    976960