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Gildas Kubicke

Researcher at Direction générale de l'armement

Publications -  53
Citations -  380

Gildas Kubicke is an academic researcher from Direction générale de l'armement. The author has contributed to research in topics: Physical optics & Radar cross-section. The author has an hindex of 11, co-authored 53 publications receiving 334 citations. Previous affiliations of Gildas Kubicke include University of Nantes & Université Nantes Angers Le Mans.

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Fast method to compute scattering by a buried object under a randomly rough surface: PILE combined with FB-SA.

TL;DR: A fast, exact numerical method based on the method of moments (MM) is developed to calculate the scattering from an object below a randomly rough surface and is tested on perfectly conducting circular and elliptic cylinders located below a dielectric rough interface obeying a Gaussian process with Gaussian and exponential height autocorrelation functions.
Journal ArticleDOI

Scattering by an object above a randomly rough surface from a fast numerical method: Extended PILE method combined with FB-SA

TL;DR: In this paper, the propagation inside-layer expansion (PILE) method was extended to the more general case of two illuminated surfaces and to apply it to an object located above a rough surface.
Book

Method of Moments for 2D Scattering Problems: Basic Concepts and Applications

TL;DR: In this paper, the authors used the method of moments (MoM) to compute the field scattered by scatterers such as canonical objects (cylinder or plate) or a randomly rough surface, and also by an object above or below a random rough surface.
Journal ArticleDOI

A Fast Hybrid Method for Scattering From a Large Object With Dihedral Effects Above a Large Rough Surface

TL;DR: In this article, a hybrid numerical method is described for scattering from an electrically large perfectlyconducting object with dihedral effects above a very long one-dimensional rough surface (two-dimensional problem).
Journal ArticleDOI

3-D Scattering From a PEC Target Buried Beneath a Dielectric Rough Surface: An Efficient PILE-ACA Algorithm for Solving a Hybrid KA-EFIE Formulation

TL;DR: The proposed hybrid approach allows a significant reduction in computation time and memory requirements compared to the rigorous Poggio-Miller-Chang-Harrington-Wu (PMCHW)-EFIE formulation which requires solving a large MoM matrix equation.