Extended Sampling Method in Inverse Scattering

TL;DR

This paper introduces an extended sampling method for inverse scattering that effectively reconstructs target location and support using limited far field data, employing a multilevel approach for improved accuracy.

Contribution

It presents a novel sampling method utilizing far field patterns of sound soft balls and a multilevel technique to enhance inverse scattering reconstructions.

Findings

Effective in determining target location and support

Works with limited aperture data

Improved reconstruction accuracy with multilevel approach

Abstract

A new sampling method for inverse scattering problems is proposed to process far field data of one incident wave. As the linear sampling method, the method sets up ill-posed integral equations and uses the (approximate) solutions to reconstruct the target. In contrast, the kernels of the associated integral operators are the far field patterns of sound soft balls. The measured data is moved to right hand sides of the equations, which gives the method the ability to process limit aperture data. Furthermore, a multilevel technique is employed to improve the reconstruction. Numerical examples show that the method can effectively determine the location and approximate the support with little a priori information of the unknown target.