Direct sampling method for retrieving small perfectly conducting cracks

TL;DR

This paper develops and analyzes a direct sampling method for locating small, linear, perfectly conducting cracks using far-field data, with improvements based on multiple incident directions and frequencies.

Contribution

It introduces a new representation of the indicator function using Bessel functions and proposes enhanced sampling methods for better crack detection accuracy.

Findings

Imaging performance depends on crack length and orientation.

Multiple incident directions and frequencies improve detection accuracy.

The proposed methods show promising simulation results.

Abstract

In this paper, direct sampling method is considered for determining the location of a set of small, linear perfectly conducting cracks from the collected far-field data corresponding to an incident field. To show the feasibility of the direct sampling method, this study proves that the indicator function of the direct sampling method can be represented by the Bessel function of order zero and the crack lengths. The results of the numerical simulations are shown to support the fact that the imaging performance is highly dependent on the crack lengths. To explain the fact that the imaging performance is highly dependent on the rotation of the cracks, the direct sampling method is further analyzed by establishing a representation using Bessel functions of orders zero and one. Based on the derived representation of indicator function, we design improved direct sampling methods by applying incident fields with multiple directions and multiple frequencies. Corresponding analysis of indicator functions and simulation results are shown for demonstrating the effectiveness and improvements.