Sparse Representation of Targets with Mixed Scattering Primitives

APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL(2020)

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摘要
A combination of two scattering primitives - wedge diffraction primitives and isotropic point scatterers - is used to reconstruct far-field monostatic scattering patterns of several target geometries and addresses shortcomings of traditional approaches that only use a single type of primitive (e.g., approximations in analytic solutions, slow convergence). An l(1)-norm minimization technique is applied to determine a set of weights for the point scatterers. We show that combining these two types of primitives yields better reconstruction performance than when each primitive type is used individually.
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关键词
Geometric Theory of Diffraction (GTD),l(1)-norm minimization,Radar Cross Section (RCS),scattering primitives,sparse representation,Uniform Theory of Diffraction (UTD)
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