• DocumentCode
    709282
  • Title

    MIMO radar imaging of targets behind multilayered walls using compressive sensing

  • Author

    Hoorfar, Ahmad ; Wenji Zhang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Villanova Univ., Villanova, PA, USA
  • fYear
    2015
  • fDate
    22-26 March 2015
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In this work we present some of our recent work on using compressive sensing (CS) in radar imaging of targets behind multilayered walls using a combination of multi-input multi-output (MIMO) radar and compressive sensing (CS). To account for the wall effects, the layered media Green´s functions are used in forming the image. The sparseness of the target space is then exploited through the use of CS to achieve a less cluttered and high resolution image with far fewer antennas and frequency point measurements. Results are presented to show the effectiveness of the method.
  • Keywords
    Green´s function methods; MIMO radar; compressed sensing; radar antennas; radar imaging; MIMO radar imaging; antenna; compressive sensing; frequency point measurement; layered media Green´s functions; multilayered wall; multiple input multiple output; target space sparseness; Compressed sensing; Frequency measurement; Imaging; MIMO radar; Radar antennas; Radar imaging; Receivers; Compressive sensing; Green´s functions; MIMO radar; Multilayered wall; TWRI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Electromagnetics (ACES), 2015 31st International Review of Progress in
  • Conference_Location
    Williamsburg, VA
  • Type

    conf

  • Filename
    7109609