• DocumentCode
    569637
  • Title

    Performance analysis of direct signal and surface clutter cancellation for bistatic noise radar with LMS filter

  • Author

    Lu, Zhenxing ; Gao, Meiguo ; Li, Yunjie ; Cheng, Siwen

  • Author_Institution
    Radar Res. Lab., Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    184
  • Lastpage
    189
  • Abstract
    Direct signal and surface clutter cancellation is an important problem in bistatic noise radar. LMS filter is employed to suppress the direct signal and clutter in this work. Direct signal and clutter cancellation ratio (DCR) is used to evaluate the performance of suppression. The impact of two factors, SNR of reference signal and fractional delay of clutter, is analyzed. The analysis is verified by numerical simulation.
  • Keywords
    filtering theory; least mean squares methods; performance evaluation; radar clutter; radar signal processing; DCR; LMS filter; bistatic noise radar; clutter fractional delay; direct signal and surface clutter cancellation ratio; least-mean-square filter; numerical simulation; performance evaluation; Clutter; Delay; Least squares approximation; Radar clutter; Signal to noise ratio; LMS; bistatic noise radar; direct signal cancellation; fractional delay; reference signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-0312-5
  • Type

    conf

  • DOI
    10.1109/INDIN.2012.6301167
  • Filename
    6301167