Abstract
A novel approach for phaseless data in solving microwave imaging through the Bayesian Compressive Sensing (BCS) formulated within the Born approximation framework is presented in this paper. Some selected numerical simulation are reported to compare and assess the features and potentialities of the proposed methodology with available state-of-the-art technique formulated in Born approximation.
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