A two-step linear inversion of two-dimensional electrical conductivity
We introduce a novel approach to the inversion of two-dimensional distributions of electrical conductivity illuminated by line sources. The algorithm stems from the newly developed extended Born approximation (see J. Geophys. Res., vol.98, no.B2, p.1759, 1993), which sums in a simple analytical expr...
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Published in | IEEE transactions on antennas and propagation Vol. 43; no. 4; pp. 405 - 415 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York, NY
IEEE
01.04.1995
Institute of Electrical and Electronics Engineers |
Subjects | |
Online Access | Get full text |
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Summary: | We introduce a novel approach to the inversion of two-dimensional distributions of electrical conductivity illuminated by line sources. The algorithm stems from the newly developed extended Born approximation (see J. Geophys. Res., vol.98, no.B2, p.1759, 1993), which sums in a simple analytical expression an infinitude of terms contained in the Neumann series expansion of the electric field resulting from multiple scattering. Comparisons of numerical performance against a finite-difference code show that the extended Born approximation remains accurate up to conductivity contrasts of 1:1000 with respect to a homogeneous background, even with large-size scatterers and for a wide frequency range. Moreover, the new approximation is nearly as computationally efficient as the first-order Born approximation. Most importantly, we show that the mathematical form of the extended Born approximation allows one to express the nonlinear inversion of electromagnetic fields scattered by a line source as the sequential solution of two Fredholm integral equations. We compare this procedure against a more conventional iterative approach applied to a limited-angle tomography experiment. Our numerical tests show superior CPU time performance of the two-step linear inversion process.< > |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0018-926X 1558-2221 |
DOI: | 10.1109/8.376039 |