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Analysis of Backscattering Data from Closely Spaced Scatterers Using the K Matrix Information

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Název: Analysis of Backscattering Data from Closely Spaced Scatterers Using the K Matrix Information
Autoři: Maria STAN NECULA, Dorin BIBICU, Luminita MORARU
Zdroj: Sensors & Transducers, Vol 245, Iss 6, Pp 99-104 (2020)
Informace o vydavateli: IFSA Publishing, S.L.
Rok vydání: 2020
Sbírka: Directory of Open Access Journals: DOAJ Articles
Témata: inverse scattering, foldy-lax formulation, distorted-wave born approximation, music, fréchet distance, average visibility index, Technology (General), T1-995
Popis: A coincident array of N transceivers is used to estimate the location of a multitude of closely spaced scatterers under arbitrary wave propagation conditions. MUltiple SIgnal Classification (MUSIC) algorithm analyses a multitude of scatterers placed in specific geometries. The formulation of the inverse scattering problem and the multistatic data matrix K are defined in two approximations: the Foldy-Lax (FL) formulation of the full multiple scattering model and the distorted-wave Born approximation (DWBA) model. The Fréchet distances (FD) between the amplitude and phase curves derived from K matrix data and of the amplitude of the scattered signals estimates the effectiveness of the approximation methods. The numerical results showed a slight effectiveness of the Foldy-Lax approximation for scatterers location. The problem of considering the phase estimation from the K matrix is not a solution for signal reconstruction and representation.
Druh dokumentu: article in journal/newspaper
Jazyk: English
Relation: https://sensorsportal.com/HTML/DIGEST/october_2020/Vol_245/P_3179.pdf; https://doaj.org/toc/2306-8515; https://doaj.org/toc/1726-5479; https://doaj.org/article/4989ad5cc1764d609789dd090da2badc
Dostupnost: https://doaj.org/article/4989ad5cc1764d609789dd090da2badc
Přístupové číslo: edsbas.37567CD3
Databáze: BASE
Popis
Abstrakt:A coincident array of N transceivers is used to estimate the location of a multitude of closely spaced scatterers under arbitrary wave propagation conditions. MUltiple SIgnal Classification (MUSIC) algorithm analyses a multitude of scatterers placed in specific geometries. The formulation of the inverse scattering problem and the multistatic data matrix K are defined in two approximations: the Foldy-Lax (FL) formulation of the full multiple scattering model and the distorted-wave Born approximation (DWBA) model. The Fréchet distances (FD) between the amplitude and phase curves derived from K matrix data and of the amplitude of the scattered signals estimates the effectiveness of the approximation methods. The numerical results showed a slight effectiveness of the Foldy-Lax approximation for scatterers location. The problem of considering the phase estimation from the K matrix is not a solution for signal reconstruction and representation.