• DocumentCode
    2699891
  • Title

    A novel pulse compression scheme based on minimum mean-square error reiteration [radar signal processing]

  • Author

    Blunt, Shannon D. ; Gerlach, Karl

  • Author_Institution
    Radar Div., Naval Res. Lab., Washington, DC, USA
  • fYear
    2003
  • fDate
    3-5 Sept. 2003
  • Firstpage
    349
  • Lastpage
    353
  • Abstract
    This paper presents an alternative approach to pulse compression that is based upon iterative minimum mean-square error (MMSE) estimation. It is similar to the well known least squares (LS) approach but does not suffer from the adverse effects caused by scatterers closer than some nominal range. This results in a more robust estimate of the radar returns while maintaining nearly the same sidelobe level. Furthermore, the proposed pulse compression scheme is highly parallelizable in range and therefore can be computed efficiently.
  • Keywords
    least mean squares methods; pulse compression; radar signal processing; iterative MMSE estimation; minimum mean-square error reiteration; pulse compression scheme; radar sidelobe level; radar signal processing; scatterers; short pulse range resolution; Additive noise; Convolution; Digital filters; Filtering; Laboratories; Matched filters; Pulse compression methods; Pulse modulation; Radar scattering; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2003. Proceedings of the International
  • Print_ISBN
    0-7803-7870-9
  • Type

    conf

  • DOI
    10.1109/RADAR.2003.1278765
  • Filename
    1278765