• DocumentCode
    3692817
  • Title

    GMTI on short sequences of pulses with compressed sensing

  • Author

    Ludger Prünte

  • Author_Institution
    Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR, Fraunhoferstraß
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    66
  • Lastpage
    70
  • Abstract
    Due to the sparse distribution of ground moving targets, compressed sensing (CS) is a natural approach for their detection. Especially the detection from short CPIs of around 100 pulses is of high interest, since it allows to monitor large areas. In this paper we compare two approaches for handling of the non-sparse clutter - i. e. weighting and filtering - and put special emphasis on radar parameters fulfilling CS requirements.
  • Keywords
    "Clutter","Mathematical model","Image reconstruction","Compressed sensing","Radar remote sensing"
  • Publisher
    ieee
  • Conference_Titel
    Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), 2015 3rd International Workshop on
  • Type

    conf

  • DOI
    10.1109/CoSeRa.2015.7330265
  • Filename
    7330265