A NEW REGULARIZATION SCHEME FOR INVERSE SCATTERING

The reconstruction of the complex permittivity profile of inhomogeneou s objects from measured scattered field data is a strongly nonlinear a nd ill-posed problem. Generally, the quality of the reconstruction fro m noisy data is enhanced by the introduction of a regularization schem e. Starting from an iterative algorithm based on a conjugate gradient method and applied to the nonlinear problem, this paper deals with a n ew regularization scheme, using edge-preserving (EP) potential functio ns. With this a priori information, the object to reconstruct is model led with homogeneous areas separated by borderlike discontinuities. Th e enhancement is illustrated throughout some examples with noisy synth etic data.