• DocumentCode
    494391
  • Title

    Predistortion Arithmetic on Low Sidelobe Pulse Compression Signal for Spaceborne Weather Radar

  • Author

    Zhu, Di ; Dong, Xiaolong

  • Author_Institution
    Center for Space Sci. & Appl. Res., Chinese Acad. of Sci., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    476
  • Lastpage
    478
  • Abstract
    Pulse compression with very low sidelobes is one of challenges in the design of spaceborne weather radar. To detect the weak echoes of clouds occurring near the strong echoes of sea surface, sidelobe performance below -60 db is needed in the pulse compression system. To achieve such low sidelobes, high SNR and linearity are required in the radar system. But in spaceborne radar system, the transmitter often works at saturation point to get high output power and high efficiency. So a successive over relaxation (SOR) iterative method of digital predistortion is applied here to ensure the sidelobe performance and high efficiency of PA. A test system based on RFPA, ESG and VSA is carried out to verify and optimize the predistortion arithmetic.
  • Keywords
    clouds; iterative methods; meteorological radar; pulse compression; radar signal processing; spaceborne radar; ESG; RFPA; SNR; VSA; clouds; digital predistortion; predistortion arithmetic; pulse compression system; sea surface; sidelobe performance; sidelobe pulse compression signal; spaceborne radar system; spaceborne weather radar; successive over relaxation iterative method; weak echoes; Arithmetic; Clouds; Linearity; Meteorological radar; Predistortion; Pulse compression methods; Radar detection; Sea surface; Spaceborne radar; Transmitters; SOR; nonlinear; predistortion; pulse compression; spaceborne weather radar; very low sidelobes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.76
  • Filename
    5070199