• DocumentCode
    2816494
  • Title

    Compressed sensing for radio interferometric imaging: Review and future direction

  • Author

    McEwen, Jason D. ; Wiaux, Yves

  • Author_Institution
    Inst. of Electr. Eng., Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    1313
  • Lastpage
    1316
  • Abstract
    Radio interferometry is a powerful technique for astronomical imaging. The theory of compressed sensing (CS) has been applied recently to the ill-posed inverse problem of recovering images from the measurements taken by radio interferometric telescopes. We review novel CS radio interferometric imaging techniques, both at the level of acquisition and reconstruction, and discuss their superior performance relative to traditional approaches. In order to remain as close to the theory of CS as possible, these techniques necessarily consider idealised interferometric configurations. To realise the enhancement in quality provided by these novel techniques on real radio interferometric observations, their extension to realistic interferometric configurations is now of considerable importance. We also chart the future direction of research required to achieve this goal.
  • Keywords
    astronomical image processing; cognitive radio; CS; astronomical imaging; compressed sensing; ill-posed inverse problem; radio interferometric imaging; Compressed sensing; Image reconstruction; Imaging; Radio interferometry; TV; Telescopes; Vectors; Compressed sensing; interferometric imaging; radio interferometry; sparsity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6115677
  • Filename
    6115677