• DocumentCode
    913567
  • Title

    An adaptive algorithm for electromagnetic imaging

  • Author

    Ciric, Ioan R. ; Liu, Yonghua

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
  • Volume
    32
  • Issue
    3
  • fYear
    1996
  • fDate
    5/1/1996 12:00:00 AM
  • Firstpage
    1302
  • Lastpage
    1305
  • Abstract
    Various iterative techniques have been elaborated recently to treat the ill-conditioned matrix equations in the inverse scattering problems relative to the electromagnetic imaging of dielectric objects. An adaptive algorithm is proposed, in which the performance of different prediction-correction techniques are compared within the iterative process in order to determine the more appropriate one for subsequent iterations. The procedure is flexible in the sense that it can incorporate various available techniques and is able to deal with a wider range of objects than existing methods. Two test examples are presented and the results are briefly discussed
  • Keywords
    adaptive signal processing; electromagnetic wave scattering; inverse problems; iterative methods; matrix algebra; microwave imaging; permittivity; prediction theory; adaptive algorithm; dielectric objects; electromagnetic imaging; ill-conditioned matrix equations; inverse scattering problems; iterative process; permittivity; prediction-correction techniques; Adaptive algorithm; Current density; Dielectrics; Electromagnetic scattering; Engine cylinders; Equations; Integral equations; Inverse problems; Iterative algorithms; Iterative methods; Mathematical analysis; Testing;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.497484
  • Filename
    497484