In recent years, several techniques of imaging have emerged based on compressive sensing. Thus, using passive devices able to code and sum the information measured on a radiating aperture, complex UWB beamforming hardwares can be replaced by inverse problems to solve using deconvolution techniques. Two similar compressive techniques have been developed independently, based on a passive multiplexer and on a metamaterial aperture. This paper proposes an unification of these approaches, using a common mathematical formulation and comparing the deconvolution strategy adopted by each research team.
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