Abstract

In this paper, a reconstruction method for the spatially distributed dielectric constant of a medium from the back scattering wave field in the frequency domain is considered. Our approach is to propose a globally convergent algorithm, which does not require any knowledge of a small neighborhood of the solution of the inverse problem in advance. The Quasi-Reversibility Method (QRM) is used in the algorithm. The convergence of the QRM is proved via a Carleman estimate. The method is tested on both computationally simulated and experimental data.

Highlights

  • In this paper we develop a globally convergent numerical method for a 1-d inverse medium problem in the frequency domain

  • Our interest is in the following inverse problem problem: Problem (Coefficient Inverse Problem (CIP))

  • We have modeled the process of electromagnetic waves propagation by the 1-d wave-like PDE

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Summary

Introduction

In this paper we develop a globally convergent numerical method for a 1-d inverse medium problem in the frequency domain. The performance of this method is tested on both computationally simulated and experimental data. In terms of working with experimental data, the goal in this paper is not to image locations of targets, since this is impossible via solving a CIP with our data, see subsection 6.2 for details. In the 3-d case the globally convergent method of [1, 2, 28, 29] works with the data generated either by a single location of the source or by a single direction of the incident plane wave.

Some Properties of Forward and Inverse Problems
Formulations of problems
Some properties of the solution of the forward problem
Some properties of the solution of the inverse problem
A Version of the Quasi-Reversibility Method
The existence and uniqueness of the minimizer of Jα
Convergence of regularized solutions
Integral differential equation
Numerical method
The algorithm The procedure to solve the CIP is described below
Global Convergence
Numerical results
Computationally simulated data
Experimental data
Findings
Summary

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