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Enhanced Backscattering of a partially coherent field from an anisotropic random lossy medium

Authors :
Josselin Garnier
Knut Sølna
Centre de Mathématiques Appliquées - Ecole Polytechnique (CMAP)
École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)
Analyse d’interactions stochastiques intelligentes et coopératives (ASCII)
École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Source :
Discrete and Continuous Dynamical Systems-Series B, Discrete and Continuous Dynamical Systems-Series B, American Institute of Mathematical Sciences, 2021, 26 (2), pp.1171-1195. ⟨10.3934/dcdsb.2020158⟩, Discrete and Continuous Dynamical Systems-Series B, 2021, 26 (2), pp.1171-1195. ⟨10.3934/dcdsb.2020158⟩
Publication Year :
2021
Publisher :
American Institute of Mathematical Sciences (AIMS), 2021.

Abstract

The weak localization or enhanced backscattering phenomenon has received a lot of attention in the literature. The enhanced backscattering cone refers to the situation that the wave backscattered by a random medium exhibits an enhanced intensity in a narrow cone around the incoming wave direction. This phenomenon can be analyzed by a formal path integral approach. Here a mathematical derivation of this result is given based on a system of equations that describes the second-order moments of the reflected wave. This system derives from a multiscale stochastic analysis of the wave field in the situation with high-frequency waves and propagation through a lossy medium with fine scale random microstructure. The theory identifies a duality relation between the spreading of the wave and the enhanced backscattering cone. It shows how the cone, its regularity and width relate to the statistical structure of the random medium. We discuss how this information in particular can be used to estimate the internal structure of the random medium based on observations of the reflected wave.

Details

ISSN :
1553524X and 15313492
Volume :
26
Database :
OpenAIRE
Journal :
Discrete & Continuous Dynamical Systems - B
Accession number :
edsair.doi.dedup.....5866b44f9bcc35127ab1f8752c2eed84
Full Text :
https://doi.org/10.3934/dcdsb.2020158