• DocumentCode
    143915
  • Title

    High-resolution wide-swath SAR processing with compressed sensing

  • Author

    Cerutti-Maori, Delphine ; Prunte, Ludger ; Sikaneta, Ishuwa ; Ender, Joachim

  • Author_Institution
    Fraunhofer Inst. for High Freq. Phys. & Radar Tech. (FHR), Wachtberg, Germany
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    3830
  • Lastpage
    3833
  • Abstract
    This paper derives a signal processing method based on compressed sensing (CS) for multi-channel high-resolution wide-swath (HRWS) synthetic aperture radars (SARs) and discusses the applicability of CS for reconstructing the SAR image from undersampled SAR signals. The performance of the proposed CS reconstruction method is investigated for an exemplary HRWS SAR system and compared with the imaging performances achieved with conventional processing methods.
  • Keywords
    compressed sensing; signal processing; synthetic aperture radar; CS applicability; CS reconstruction method performance; HRWS SAR system; SAR image reconstruction; compressed sensing; conventional processing method; high-resolution wide-swath SAR processing; imaging performance; multichannel high-resolution wide-swath; signal processing method; undersampled SAR signal; Compressed sensing; Image reconstruction; Imaging; Radar imaging; Sensors; Synthetic aperture radar; Vectors; Compressed sensing; HRWS radar; Multi-channel radar signal processing; SAR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947319
  • Filename
    6947319