• DocumentCode
    1405844
  • Title

    Oversampling gain in adaptive normalised matched filter detector

  • Author

    Shi, Yan-Ling ; Shui, Peng-Lang ; Zhao, Yun-Bin

  • Author_Institution
    Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
  • Volume
    5
  • Issue
    9
  • fYear
    2011
  • Firstpage
    987
  • Lastpage
    993
  • Abstract
    In radar target detection, the adaptive normalised matched filter (ANMF) detector is often used to detect moving targets in sea and land clutter environment. Its performance depends on estimation of clutter covariance matrix. The sample covariance matrix (SCM) estimator has been thoroughly analysed for independent and identically distributed Gaussian clutter vectors. Many radar systems on service use range-oversampling receivers. Referred to the range-oversampling model in the weather and oceanic radars, the spatial correlation model of range-oversampled clutter vectors is established, the error of the SCM estimator is analysed, and the range-oversampling gain, relevant to the oversampling factor and the receiver´s bandwidth, is derived. The experiments using raw radar clutter data are made to verify the range-oversampling gain, showing that the range oversampling improves the performance of the ANMF detector.
  • Keywords
    adaptive filters; correlation methods; covariance matrices; matched filters; meteorological radar; object detection; radar clutter; radar detection; radar imaging; adaptive normalised matched filter detector; clutter covariance matrix estimation; distributed Gaussian clutter vectors; land clutter environment; moving target detection; oceanic radars; oversampling factor; radar target detection; range-oversampled clutter vectors; range-oversampling gain; range-oversampling receivers; raw radar clutter data; sample covariance matrix estimation; sea clutter environment; spatial correlation model; weather radars;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar & Navigation, IET
  • Publisher
    iet
  • ISSN
    1751-8784
  • Type

    jour

  • DOI
    10.1049/iet-rsn.2010.0293
  • Filename
    6111413