• DocumentCode
    3389897
  • Title

    Characterisation of dielectric obstacles using ultra-wideband techniques

  • Author

    Gülck, Alexander ; Lehmann, Thomas ; Knochel, Reinhard

  • Author_Institution
    Microwave Lab., Kiel Univ.
  • fYear
    2005
  • fDate
    6-7 Oct. 2005
  • Firstpage
    259
  • Lastpage
    262
  • Abstract
    In this paper ultra-wideband techniques are utilized for the classification and localisation of small dielectric objects with different permittivities, which may be considered as foreign bodies in otherwise quasi homogeneous dielectric layers. The dielectric obstacles are irradiated with antennas using transmission techniques. Pulses are applied having a width of approximately 400 ps. The signals are sampled after interfering with the object under test and processed using principal component analysis and artificial neural networks. Measurements are carried out in order to estimate the obtained spatial resolution and predict the material properties. The results show that the localisation is independent from the dielectric classification. The spatial resolution is better than the involved wavelengths anticipate
  • Keywords
    electrical engineering computing; neural nets; permittivity; principal component analysis; signal resolution; signal sampling; ultra wideband antennas; antennas; artificial neural networks; dielectric classification; dielectric obstacles; permittivities; principal component analysis; quasi homogeneous dielectric layers; signal sampling; spatial resolution; ultra-wideband techniques; Artificial neural networks; Dielectrics; Permittivity; Principal component analysis; Signal processing; Space vector pulse width modulation; Spatial resolution; Testing; Transmitting antennas; Ultra wideband technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2005. EURAD 2005. European
  • Conference_Location
    Paris
  • Print_ISBN
    2-9600551-3-6
  • Type

    conf

  • DOI
    10.1109/EURAD.2005.1605613
  • Filename
    1605613