• DocumentCode
    1717332
  • Title

    Compressed sensing imaging with the KAT-7 array

  • Author

    Schwardt, Ludwig C.

  • Author_Institution
    SKA South Africa, Pinelands, South Africa
  • fYear
    2012
  • Firstpage
    690
  • Lastpage
    693
  • Abstract
    Compressed sensing (CS) provides the theory behind the CLEAN deconvolution step found in aperture synthesis imaging in radio astronomy and suggests many new algorithms for it. A few CS algorithms, including greedy methods such as Orthogonal Matching Pursuit (OMP) and convex relaxation methods based on Basis Pursuit (BP), are evaluated on a small dataset produced by the KAT-7 array. The new algorithms outperform a standard CLEAN algorithm on this snapshot imaging task.
  • Keywords
    astronomical image processing; compressed sensing; convex programming; deconvolution; greedy algorithms; image reconstruction; radioastronomy; CS algorithms; KAT-7 array; OMP; aperture synthesis imaging; clean deconvolution step; compressed sensing imaging algorithm; convex relaxation methods; greedy methods; orthogonal matching pursuit; radioastronomy; Arrays; Compressed sensing; Deconvolution; Extraterrestrial measurements; Imaging; Matching pursuit algorithms; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetics in Advanced Applications (ICEAA), 2012 International Conference on
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4673-0333-0
  • Type

    conf

  • DOI
    10.1109/ICEAA.2012.6328716
  • Filename
    6328716