Detection and imaging in a random medium: A matrix method to overcome multiple scattering and aberration

TL;DR

This paper introduces a matrix-based imaging method that effectively detects and localizes targets in strongly scattering media by separating single scattering from multiple scattering, outperforming classical techniques especially in complex environments.

Contribution

The paper presents a novel matrix method utilizing the coherence along array response matrix antidiagonals to isolate single scattering, improving detection in highly scattering media.

Findings

Significantly improved target detection over classical methods.

Effective reduction of aberrations caused by heterogeneous layers.

Validated through ultrasonic experiments with steel scatterers.

Abstract

We present an imaging technique particularly suited to the detection of a target embedded in a strongly scattering medium. Classical imaging techniques based on the Born approximation fail in this kind of configuration because of multiply scattered echoes and aberration distortions. The experimental set up we consider uses an array of programmable transmitters/receivers. A target is placed behind a scattering medium. The impulse responses between all array elements are measured and form a matrix. The core of the method is to separate the single-scattered echo of the target from the multiple scattering background. This is possible because of a deterministic coherence along the antidiagonals of the array response matrix, which is typical of single scattering. Once this operation is performed, target detection is achieved by applying the DORT method (French acronym for decomposition of the time reversal operator). Experimental results are presented in the case of wide-band ultrasonic waves around 3 MHz. A 125-element array is placed in front of a collection of randomly distributed steel rods (diameter 0.8mm). The slab thickness is three times the scattering mean free path. The target is a larger steel cylinder (diameter 15 mm) that we try to detect and localize. The quality of detection is assessed theoretically based on random matrix theory and is shown to be significantly better than what is obtained with classical imaging methods. Aside from multiple scattering, the technique is also shown to reduce the aberrations induced by an heterogeneous layer.