• DocumentCode
    1790787
  • Title

    Multipole-based sparse electromagnetic imaging

  • Author

    Nikolic, Marija ; Djordjevic, Antonije ; Nehorai, Arye

  • Author_Institution
    Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia
  • fYear
    2014
  • fDate
    16-19 Nov. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we present a novel sparse imaging approach based on the multipole expansion of the electric field. On the example of the complex target imaging, we show that higher-order multipoles provide additional pieces of information, which help to resolve cases in which standard sparse imaging fails. Therefore, higher-order sparse processing may be a valuable tool in target classification and shape estimation.
  • Keywords
    image classification; complex target imaging; higher-order multipole; higher-order sparse processing; multipole electric field expansion; multipole-based sparse electromagnetic imaging approach; shape estimation; target classification; Electromagnetics; Image reconstruction; Magnetic resonance imaging; Shape; Standards; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antenna Measurements & Applications (CAMA), 2014 IEEE Conference on
  • Conference_Location
    Antibes Juan-les-Pins
  • Type

    conf

  • DOI
    10.1109/CAMA.2014.7003434
  • Filename
    7003434