• DocumentCode
    2267989
  • Title

    ISAR imaging using parametric L0-norm minimization

  • Author

    Li, Gang ; Wang, Xiqin ; Xia, Xiang-Gen

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2012
  • fDate
    7-11 May 2012
  • Abstract
    We present a sparsity-driven algorithm of inverse synthetic aperture radar (ISAR) imaging. Based on the parametric sparse representation of the received ISAR signal, the problem of ISAR image formation is converted into the joint estimation of the target rotation rate and the sparse power distribution in the spatial domain. This goal is achieved by parametric L0-norm minimization, which ensures the sparsest ISAR image.
  • Keywords
    radar imaging; synthetic aperture radar; ISAR imaging; ISAR signal; inverse synthetic aperture radar; parametric L0-norm minimization; sparse representation; sparsity-driven algorithm; Estimation; Imaging; Matching pursuit algorithms; Minimization; Radar imaging; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RADAR), 2012 IEEE
  • Conference_Location
    Atlanta, GA
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4673-0656-0
  • Type

    conf

  • DOI
    10.1109/RADAR.2012.6212177
  • Filename
    6212177
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2267989