• DocumentCode
    2135549
  • Title

    Parallel synthetic aperture radar processing on workstation networks

  • Author

    Meisl, Peter G. ; Ito, Mabo R. ; Cumming, Ian G.

  • Author_Institution
    Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada
  • fYear
    1996
  • fDate
    15-19 Apr 1996
  • Firstpage
    716
  • Lastpage
    723
  • Abstract
    Synthetic aperture radar (SAR) signal processing poses a significant challenge due to its very large computation and data storage requirements. This paper presents the computational requirements of a typical high resolution satellite SAR data processing scenario. A classification of approaches to partitioning the SAR problem for parallel processing is given. The suitability of networks of workstations (NOW) for SAR processing is analyzed for a number of partitioning approaches. The network throughputs required to support SAR processing on NOW are derived. SAR processing is found to demand extremely high network throughput that is difficult to achieve with today´s technology
  • Keywords
    local area networks; parallel processing; radar computing; radar signal processing; remote sensing by radar; spaceborne radar; synthetic aperture radar; telecommunication computing; NOW; classification; computational requirements; data storage requirements; high network throughput; high resolution satellite SAR data processing; local area network; parallel processing; remote sensing; signal processing; synthetic aperture radar processing; very large computation requirements; workstation networks; Data processing; Memory; Parallel processing; Partitioning algorithms; Radar signal processing; Remote sensing; Satellites; Sensor arrays; Signal processing algorithms; Signal resolution; Synthetic aperture radar; Throughput; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Symposium, 1996., Proceedings of IPPS '96, The 10th International
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-8186-7255-2
  • Type

    conf

  • DOI
    10.1109/IPPS.1996.508137
  • Filename
    508137