Simultaneously recover two constant coefficients and a polygon with a single pair of Cauchy data for the Helmholtz equation

TL;DR

This paper introduces a method to simultaneously recover two constant coefficients and a polygonal obstacle in the Helmholtz equation from a single Cauchy data set, with verified uniqueness and efficient numerical results.

Contribution

It develops a novel combined approach using a modified factorization method to recover coefficients and obstacle shape from minimal boundary data.

Findings

Uniqueness of recovery under certain assumptions

Effective numerical reconstruction demonstrated

Method overcomes eigenvalue-related difficulties

Abstract

This paper is concerned with an inverse boundary value problem for the Helmholtz equation over a bounded domain. The aim is to reconstruct two constant coefficients together with the location and shape of a Dirichlet polygonal obstacle from a single pair of Cauchy data. Uniqueness results are verified under some a priori assumptions and the one-wave factorization method has been adapted to recover the polygonal obstacle as well as the two coefficients. A modified factorization using the Dirichlet-to-Neumann operator is employed to overcome difficulties arising from possible eigenvalues. Intensive numerical examples indicate that our method is efficient.