Abstract
Basic tools to solve an inverse scattering problem for anisotropic media are
developed. A transient electromagnetic field impinges upon a slab of
anisotropic dispersive medium. The scattering kernels map the incident field to the scattered fields. The inverse scattering
problem is to reconstruct the components of the matrix susceptibility kernel from knowledge of the scattering kernels. The method is
based on the imbedding and Green functions equations. These equations are generalized to allow for an incident field at arbitrary
angle from one side of the slab and the mirror image field incident from the other side of the slab. Mirror image invariance is
investigated for a homogeneous slab. An inverse scattering problem for a homogeneous mirror image invariant medium is presented and
solved numerically using reflection data from one side of the slab only.
developed. A transient electromagnetic field impinges upon a slab of
anisotropic dispersive medium. The scattering kernels map the incident field to the scattered fields. The inverse scattering
problem is to reconstruct the components of the matrix susceptibility kernel from knowledge of the scattering kernels. The method is
based on the imbedding and Green functions equations. These equations are generalized to allow for an incident field at arbitrary
angle from one side of the slab and the mirror image field incident from the other side of the slab. Mirror image invariance is
investigated for a homogeneous slab. An inverse scattering problem for a homogeneous mirror image invariant medium is presented and
solved numerically using reflection data from one side of the slab only.
Original language | English |
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Publisher | [Publisher information missing] |
Number of pages | 24 |
Volume | TEAT-7028 |
Publication status | Published - 1993 |
Publication series
Name | Technical Report LUTEDX/(TEAT-7028)/1-24/(1993) |
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Volume | TEAT-7028 |
Bibliographical note
Published version: Inverse Problems, 10(5), 1133-1144, 1994.Subject classification (UKÄ)
- Other Electrical Engineering, Electronic Engineering, Information Engineering
- Electrical Engineering, Electronic Engineering, Information Engineering