Multi-frequency based location search algorithm of small electromagnetic inhomogeneities embedded in two-layered medium

TL;DR

This paper introduces a multi-frequency location search algorithm for electromagnetic inhomogeneities in a two-layered medium, demonstrating improved accuracy and noise robustness over traditional methods.

Contribution

The paper presents a novel multi-frequency filter function and algorithm for locating electromagnetic inhomogeneities, outperforming existing techniques like MUSIC and Kirchhoff migration.

Findings

The proposed algorithm accurately locates inhomogeneities in noisy environments.

It outperforms MUSIC and Kirchhoff migration in accuracy.

Numerical results confirm robustness and effectiveness.

Abstract

In this paper, we consider a problem for finding the locations of electromagnetic inhomogeneities completely embedded in homogeneous two layered medium. For this purpose, we present a filter function operated at several frequencies and design an algorithm for finding the locations of such inhomogeneities. It is based on the fact that the collected Multi-Static Response (MSR) matrix can be modeled via a rigorous asymptotic expansion formula of the scattering amplitude due to the presence of such inhomogeneities. In order to show the effectiveness, we compare the proposed algorithm with traditional MUltiple SIgnal Classification (MUSIC) algorithm and Kirchhoff migration. Various numerical results demonstrate that the proposed algorithm is robust with respect to random noise and yields more accurate location than the MUSIC algorithm and Kirchhoff migration.