• DocumentCode
    1358169
  • Title

    Prediction-correction method for electromagnetic imaging with current reconstruction

  • Author

    Liu, Yonghua ; Ciric, I.R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
  • Volume
    44
  • Issue
    9
  • fYear
    1996
  • fDate
    9/1/1996 12:00:00 AM
  • Firstpage
    1220
  • Lastpage
    1226
  • Abstract
    A prediction-correction methodology is presented for improving the numerical stability of the iterative process involved in the solution of nonlinear inverse scattering problems related to the electromagnetic imaging of dielectric objects. In various methods developed so far, each iteration is performed by only using the results obtained in the preceding iteration. The results computed in the preceding iteration along with those acquired in previous iterations are employed selectively to make a prediction of the object function to be used in the next iteration. As a consequence, the numerical stability and the convergence of the iterative process are improved. This is illustrated by numerical computation results obtained for lossless and for lossy dielectric bodies
  • Keywords
    electric current; electromagnetic wave scattering; image reconstruction; inverse problems; iterative methods; numerical stability; object recognition; prediction theory; convergence; current reconstruction; dielectric objects; electromagnetic imaging; image reconstruction; iterative process; lossless dielectric bodies; lossy dielectric bodies; nonlinear inverse scattering problems; numerical computation results; numerical stability; object function; prediction-correction method; Convergence of numerical methods; Current density; Current distribution; Electromagnetic fields; Electromagnetic scattering; Green function; Image reconstruction; Integral equations; Numerical stability; Vectors;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/8.535379
  • Filename
    535379