• DocumentCode
    641725
  • Title

    Adaptive ground clutter suppression for airborne weather radar based on echoes power

  • Author

    Renbiao Wu ; Yanfei Han ; Hai Li

  • Author_Institution
    Tianjin Key Lab. for Adv. Signal Process., Civil Aviation Univ. of China, Tianjin, China
  • fYear
    2013
  • fDate
    14-16 April 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Airborne weather radar is an important navigation equipment to ensure flight safety. A new adaptive clutter suppression method based on echoes power is proposed in this paper, which is for airborne weather radar operated in wind shear mode. By using the priori information and the polar coordinate centroid method, the centre frequency and bandwidth of clutter spectrum is validly estimated. The echo power in each range cell is used to design a dual-threshold controlled adaptive notch filter. Results of simulation have proved that this method has a superior clutter suppression performance. It can provide a maximum extent possibility to reject the ground clutter, and meanwhile improve the wind speed estimate accuracy of the wind shear signal effectively.
  • Keywords
    adaptive filters; air safety; airborne radar; bandwidth allocation; meteorological radar; notch filters; radar clutter; radar signal processing; adaptive ground clutter suppression; air transportation; airborne weather radar; bandwidth estimation; centre frequency estimation; clutter spectrum; dual-threshold controlled adaptive notch filter; echoes power; flight safety; ground clutter rejetion; navigation equipment; polar coordinate centroid method; wind shear mode; wind shear signal; wind speed estimate accuracy; Adaptive filter; Airborne weather radar; Dual-threshold controlled; Echoes power; Ground clutter suppression;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Radar Conference 2013, IET International
  • Conference_Location
    Xi´an
  • Electronic_ISBN
    978-1-84919-603-1
  • Type

    conf

  • DOI
    10.1049/cp.2013.0313
  • Filename
    6624477