• DocumentCode
    3691042
  • Title

    Efficient SAR raw data parallel simulation based on multicore vector extension

  • Author

    Chen Hu;Fan Zhang;Lixiang Ma;Guojun Li;Wei Hu;Wei Li

  • Author_Institution
    College of Information Science &
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    4719
  • Lastpage
    4722
  • Abstract
    Due to independence of weather condition and sun illumination, Synthetic Aperture Radar (SAR) has been widely used in airborne remote sensing and satellite ocean observation fields. With the increase in swath and higher resolution requirements, SAR imaging algorithms require further study. However, as a research support, echo data has massive increase. So the high efficient echo simulation is required emergently. SAR echo simulation is optimized to accelerate, based on AVX/SSE of vector instruction set and OpenMP. Experiments demonstrate that in the case of using OpenMP and AVX / SSE combined, CPU simulation efficiency is improved by about 23 times, compared to the traditional one.
  • Keywords
    "Computational modeling","Synthetic aperture radar","Data models","Graphics processing units","Multicore processing","Acceleration","Azimuth"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326883
  • Filename
    7326883