• DocumentCode
    1396295
  • Title

    Autofocusing of SAR images using STFRFT-based preprocessing

  • Author

    Bai, Xiaoqing ; Tao, R. ; Liu, Li-Juan ; Zhao, Junhua

  • Author_Institution
    Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
  • Volume
    48
  • Issue
    25
  • fYear
    2012
  • Firstpage
    1622
  • Lastpage
    1624
  • Abstract
    Prominent point processing (PPP) is a very popular synthetic aperture radar (SAR) autofocus algorithm, which can estimate errors caused by any type of unknown motion or other error source and has high accuracy under the assumption that a prominent point scatterer is available within an imaged scene. Proposed is an advanced PPP algorithm with a preprocessing technique based on the short-time fractional Fourier transform (STFRFT) to relax the limitation on the scene content. The performance of the proposed autofocus algorithm is validated using real radar data.
  • Keywords
    Fourier transforms; radar imaging; synthetic aperture radar; SAR images; STFRFT-based preprocessing; advanced PPP algorithm; error source; prominent point processing; prominent point scatterer; real radar data; scene content; short-time fractional Fourier transform; synthetic aperture radar autofocus algorithm;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2012.3169
  • Filename
    6407255