• DocumentCode
    641828
  • Title

    A compressed sensing imaging method based on radar signal construct sparsity basis

  • Author

    Sun Wen-feng ; Han Tao ; Shang She ; Song Da-wei ; Li Dong ; Fan Xiao-yan

  • Author_Institution
    Sci. & Technol. on Space Microwave Lab., Xi´an, China
  • fYear
    2013
  • fDate
    14-16 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The signal sparse representation is one of the key elements of CS theory.This article covers construction of sparse basis matrix according to the form of radar signal,the sparse transform for radar echo signal,imagination according to the algorithm of CS reconstruction,showing the effectiveness of the compressed sensing imaging method by simulation results.
  • Keywords
    compressed sensing; radar imaging; signal representation; transforms; CS reconstruction; CS theory; compressed sensing imaging method; radar echo signal; radar signal construct sparsity basis; signal sparse representation; sparse transform; Compressed sensing; Radar imaging; Sparse representation;
  • 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.2013.0416
  • Filename
    6624580
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=641828