• DocumentCode
    641684
  • Title

    Range-spread target detection in homogenous clutter via short-time GLRT estimation and HOCC integration

  • Author

    Shu-Wen Xu ; Peng-Lang Shui

  • Author_Institution
    Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
  • fYear
    2013
  • fDate
    14-16 April 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    It is difficult for high resolution radar (HRR) to detect range-spread maneuvering targets in homogenous clutter. The traditional generalised likelihood ratio test (GLRT) detectors are ineffective in long integration duration, because maneuvering targets suffer from inevitable range walks across cells as well as unpredictable phase change at individual range cells. A new detector is proposed combining the short-time coherent integration based on GLRT estimation, and long-time similarity integration based on high-order crosscorrelation (HOCC) integration. The experimental results based on raw radar target data show that the new detector achieves better detection performance for range-spread manoeuvring targets in homogenous clutter than the existing detectors.
  • Keywords
    maximum likelihood detection; object detection; radar clutter; radar detection; radar resolution; HOCC integration; generalised likelihood ratio test detectors; high resolution radar; high-order cross-correlation integration; homogenous clutter; long integration duration; long-time similarity integration; radar target data; range cells; range-spread maneuvering targets; range-spread manoeuvring targets; range-spread target detection; short-time GLRT estimation; short-time coherent integration; unpredictable phase change; Generalised likelihood ratio test; High resolution radar; Homogenous clutter; Range-spread maneuvering target;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Radar Conference 2013, IET International
  • Conference_Location
    Xi´an
  • Electronic_ISBN
    978-1-84919-603-1
  • Type

    conf

  • DOI
    10.1049/cp.2013.0272
  • Filename
    6624436