The Detection of Point Scatterers in a Waveguide

Gintides, Drossos; Kiriaki, K.; Lygidaki, A.; Midrinos, L.

doi:10.1142/9789812814852_0005

Cited by 1 publication

(1 citation statement)

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“…The numerical values gathered during the simulations showed that the efficiency of the target location depends slightly on the placement of the interior points, but it is strongly dependent on the wavelength and the level of noise. In paper [25] the problem of point scatterers reconstruction in a 2D space/waveguide using a MUSIC type algorithm connected with a factorization method for waveguides is reported. This method is applied for scatterers satisfying the Dirichlet and Neumann condition in the Born approximation.…”

Section: Discussionmentioning

confidence: 99%

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

Necula

Bibicu

Moraru

et al. 2020

Ann_UGAL_Math_Phys_Mec

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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.

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Section: Discussionmentioning

confidence: 99%