• DocumentCode
    279522
  • Title

    Design of optimum mean square sidelobe suppression filters for Barker codes

  • Author

    Jung, K.T. ; Kim, C.J. ; Lim, C.H. ; Lee, H.S. ; Kwag, Y.K.

  • Author_Institution
    Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
  • fYear
    1992
  • fDate
    12-13 Oct 1992
  • Firstpage
    530
  • Lastpage
    533
  • Abstract
    This paper proposes a new filter design algorithm to obtain the coefficients of the Rihaczeck-Golden filter using the Lagrange multiplier method. This formulation is regarded as one of the least square algorithm. In general, minimization of peak sidelobe level is required in a nonuniformly distributed clutter environment and minimization of mean square sidelobe level in a uniformly distributed clutter environment. Therefore one can use the proposed algorithm for the latter
  • Keywords
    codes; correlation theory; least squares approximations; matched filters; radar clutter; radar theory; Barker codes; Lagrange multiplier method; filter design algorithm; least square algorithm; optimum mean square sidelobe suppression filters; radar; uniformly distributed clutter environment;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Radar 92. International Conference
  • Conference_Location
    Brighton
  • Print_ISBN
    0-85296-553-2
  • Type

    conf

  • Filename
    187159