Imaging sparse scatterers through a multi-frequency CS approach

In this paper an inverse scattering technique based on the multi-task Bayesian Compressive Sensing is presented within a multi-frequency framework. After recasting the problem in a probabilistic sense, the solution to the imaging problem is determined by means of an efficient Relevant Vector Machine coupled with a contrast source inversion procedure. Selected numerical results are discussed to assess and compare the efficiency and robustness of the proposed strategy with respect to the state-of-the-art techniques.