• DocumentCode
    1135522
  • Title

    High-Resolution Radar via Compressed Sensing

  • Author

    Herman, Matthew A. ; Strohmer, Thomas

  • Author_Institution
    Dept. of Math., Univ. of California, Davis, CA
  • Volume
    57
  • Issue
    6
  • fYear
    2009
  • fDate
    6/1/2009 12:00:00 AM
  • Firstpage
    2275
  • Lastpage
    2284
  • Abstract
    A stylized compressed sensing radar is proposed in which the time-frequency plane is discretized into an N times N grid. Assuming the number of targets K is small (i.e., K Lt N2), then we can transmit a sufficiently ldquoincoherentrdquo pulse and employ the techniques of compressed sensing to reconstruct the target scene. A theoretical upper bound on the sparsity K is presented. Numerical simulations verify that even better performance can be achieved in practice. This novel-compressed sensing approach offers great potential for better resolution over classical radar.
  • Keywords
    radar signal processing; target tracking; compressed sensing radar; high resolution radar; incoherent pulse; target scene reconstruction; Alltop sequence; Gabor analysis; compressed sensing; matrix identification; radar; sparse recovery;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2009.2014277
  • Filename
    4770164