Multiple closely spaced scatterers location based MUSIC via inverse scattering amplitude estimation

Abstract

This study is an attempt to answer questions related to a new scanning technology applicable in nondivest and noncontact conditions. MUltiple SIgnal Classification (MUSIC) algorithm uses an array of N transceivers to assess the location of closely spaced scatterers placed in various geometries. MUSIC algorithm works together with the Foldy-Lax (FL) formulation of the full multiple scattering model and the distorted-wave Born approximation (DWBA) model. The experiments were carried out in noisy conditions in order to highlight the noise robustness of the MUSIC algorithm and the capability of its approximations in target location. The average visibility index over the wavelength range was employed to evaluate the accuracy and stability of the FL and DWBA approximations. The FL formulation provides signal reconstruction for target location with fair accuracy and motivates the requirement for a new scanning technology.