In this contribution, we expand the repertoire of linearizing strategies pertinent to the inverse medium problem. This is accomplished by means of a new decomposition of the forward scattering map which reveals a previously unknown approximate forward scattering relation. The latter is data-driven, i.e., it involves exact scattering data, and leads to a new linear inverse scattering approach that generalizes and can be more broadly applicable than the classical Born approximation. The study is developed for a far-zone 2-D scalar case. Some simple numerical examples are added to check the theory.

A new data-based method for linear inverse scattering

Solimene, R.
2017

Abstract

In this contribution, we expand the repertoire of linearizing strategies pertinent to the inverse medium problem. This is accomplished by means of a new decomposition of the forward scattering map which reveals a previously unknown approximate forward scattering relation. The latter is data-driven, i.e., it involves exact scattering data, and leads to a new linear inverse scattering approach that generalizes and can be more broadly applicable than the classical Born approximation. The study is developed for a far-zone 2-D scalar case. Some simple numerical examples are added to check the theory.
2017
9781509044511
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11591/386971
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