• DocumentCode
    3406048
  • Title

    Application of compressive sensing in 3D radar imaging

  • Author

    Xiao-Chun, Xie

  • Author_Institution
    Sch. of Phys. & Electron. Inf., Gannan Normal Univ., Ganzhou, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    2117
  • Lastpage
    2120
  • Abstract
    By using compressive sensing technique, the data rate needed in radar imaging can be remarkably reduced. Phase reservation is the key issue for compressive sensing based radar imaging algorithm. In this paper, we propose a phase-reservation CS based pulse compression algorithm after investigation of the radar signal sparsity property, and then apply the algorithm to 3D radar imaging. Simulation results show that the phase information after CS range compression could be well preserved so as to realize 2D and 3D radar imaging.
  • Keywords
    pulse compression; radar imaging; 2D radar imaging; 3D radar imaging algorithm; CS range compression; compressive sensing technique; data rate; phase information; phase reservation CS based pulse compression algorithm; radar signal sparsity property; Correlation; Image reconstruction; Imaging; Radar cross section; Radar imaging; Three dimensional displays; InlSAR; compressive sensing; phase-reservation; radar imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5655935
  • Filename
    5655935