• DocumentCode
    4266
  • Title

    Phase Error Compensation in Imaging Systems Using Compressed Sensing Techniques

  • Author

    Alvarez, Yuri ; Rodriguez-Vaqueiro, Yolanda ; Gonzalez-Valdes, Borja ; Martinez-Lorenzo, Jose Angel ; Las-Heras, Fernando ; Rappaport, Carey M.

  • Author_Institution
    Dept. of Electr. Eng., Univ. de Oviedo, Gijon, Spain
  • Volume
    12
  • fYear
    2013
  • fDate
    2013
  • Firstpage
    1574
  • Lastpage
    1577
  • Abstract
    A study of the capabilities for phase error correction of compressed sensing (CS) imaging techniques is presented. The idea is to show that CS method is able to recover reflectivity images with a reduced number of sensors even if the system suffers from phase errors. A comparison to the sparsity-driven approach (SDA) technique for phase error correction is presented, analyzing SDA and CS performance with different numbers of sensors, phase error values, and sensor placement uncertainties. Validation with synthetically blurred experimental data-collected using multistatic radar-is presented.
  • Keywords
    compressed sensing; error correction; image coding; radar imaging; synthetic aperture radar; SDA; compressed sensing; imaging systems; multistatic radar; phase error compensation; phase error correction; reflectivity images; sensor placement uncertainty; sparsity-driven approach; synthetic aperture radar; Compressed sensing; Error compensation; Imaging; Radar imaging; Radar polarimetry; Receivers; Synthetic aperture radar; Compressed sensing; imaging systems; phase error; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Journal_Title
    Antennas and Wireless Propagation Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1225
  • Type

    jour

  • DOI
    10.1109/LAWP.2013.2293314
  • Filename
    6677580