Direct sampling method for imaging small anomalies: real-data experiments

TL;DR

This paper introduces a direct sampling method for real-time detection of small anomalies using limited antenna data, supported by theoretical analysis and real-data experiments.

Contribution

The paper develops a DSM for anomaly imaging that is theoretically justified and validated with real-data experiments, highlighting its effectiveness and limitations.

Findings

Effective detection of small anomalies demonstrated

Theoretical representation of the indicator function

Limitations identified through real-data experiments

Abstract

A direct sampling method (DSM) is designed herein for a real-time detection of small anomalies from scattering parameters measured by a small number of dipole antennas. Applicability of the DSM is theoretically demonstrated by proving that its indicator function can be represented in terms of an infinite series of Bessel functions of integer order and the antenna locations. Experiments using real-data then demonstrate both the effectiveness and limitations of this method.