• DocumentCode
    3097384
  • Title

    A Novel Adaptive Ground Clutter Removal Algorithm for High Range Resolution MMW Radar

  • Author

    Wei, Fan ; Yunxia, Cao ; Xin, BI ; Yue, Ma ; Shuai, Chen

  • Author_Institution
    Shenyang Inst. of Autom., Chinese Acad. of Sci. (CAS), Shenyang
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    363
  • Lastpage
    366
  • Abstract
    In this paper we present a novel adaptive ground clutter removal algorithm for high range resolution MMW-radar application where the dielectric contrast between the air and the ground material is close to or even higher than that between the target and the surrounding medium. Most of the ground clutter removal algorithms used nowadays, show weak performances in the case of a rough ground surface or suffer from high computation complexity. The algorithm presented in this contribution is capable to remove the ground clutter resulting from undulated surfaces by estimating not only the position but also the varying signal shape and enables a near optimal ground clutter reduction with a moderate computation complexity.
  • Keywords
    radar clutter; radar detection; radar imaging; space-time adaptive processing; MMW radar; adaptive ground clutter removal algorithm; computation complexity; dielectric contrast; position etimation; signal shape; Dielectric materials; Land surface; Pulse compression methods; Radar applications; Radar clutter; Radar cross section; Radar detection; Rough surfaces; Signal resolution; Surface roughness; MMW radar; ground clutter removal; high range resolution radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3530-2
  • Electronic_ISBN
    978-1-4244-3531-9
  • Type

    conf

  • DOI
    10.1109/KAMW.2008.4810498
  • Filename
    4810498