• DocumentCode
    2239612
  • Title

    Near-field subsurface detection in lossy media using single split resonator probe

  • Author

    Ren, Zhao ; Boybay, Muhammed S. ; Ramahi, Omar M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2009
  • fDate
    24-25 Sept. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Recently, we showed that single negative media can significantly enhance the sensitivity of near-field probes. Inspired by this recent finding, we propose a new near-field probe that uses only one single split ring resonator instead of a periodic arrangement of these resonators. We show through numerical simulations that the new proposed probe lead to significant enhancement in the sensitivity as measured by the change in phase in the reflection coefficient. Experimental tests were conducted to detect the presence of a small aluminum block located behind a layer of ground chicken (lossy medium). Preliminary results show that with our new probe, a phase change in the reflection coefficient of 14 degrees can be achieved for 2 mm thick ground chicken and 6.24 mm aluminum cube at an operation frequency of 1.16 GHz.
  • Keywords
    absorbing media; microwave imaging; resonators; aluminum cube; ground chicken; lossy media; near-field subsurface detection; reflection coefficient; sensitivity enhancement; single split resonator probe; small aluminum block; Aluminum; Circuits; Frequency; Magnetic fields; Magnetic resonance; Numerical simulation; Object detection; Phase detection; Probes; Reflection; near-field; phase detection; single split resonator; subsurface detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Sensing, Local Positioning, and RFID, 2009. IMWS 2009. IEEE MTT-S International Microwave Workshop on
  • Conference_Location
    Cavtat
  • Print_ISBN
    978-1-4244-5060-2
  • Electronic_ISBN
    978-1-4244-5062-6
  • Type

    conf

  • DOI
    10.1109/IMWS2.2009.5307898
  • Filename
    5307898