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The paradigm of Compressive Sensing (CS) has emerged in the last few years as a flexible and powerful methodological strategy to address synthesis and analysis problems arising in wave scattering and propagation engineering. The success of CS techniques is motivated by several factors, including (i) their capability to address sampling/recovery problems overcoming the classical Nyquist/Shannon limits,...
In electromagnetics, optimization problems generally require high computational resources and involve a large number of unknowns. They are usually characterized by non-convex functionals and continuous spaces suitable for strategies based on Differential Evolution (DE). In such a framework, this paper is aimed at presenting an overview of Differential Evolution-based approaches used in electromagnetics,...
Concerning the state-of-the-art of the application of EAs to inverse scattering, it should be firstly pointed out that their use in computational electromagnetics has a relatively short history, although their use was growing faster from the beginning. However, many of these algorithms (e.g., PSO and ACO) cannot be considered fully developed inversion techniques when compared to other imaging methodologies...
This contribution presents a new comparative experimental assessment of methodologies for quantitative electromagnetic imaging of unknown scatterers from amplitude-only measurements of the total field. The proposed reconstruction procedure splits the problem in two steps. The first step is aimed at estimating the distribution of the radiated field in the investigation domain in order to complete the...
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