Experimental validation of a novel Gauss-Newton inversion method for microwave tomographic imaging

Abstract

Microwave imaging systems are acquiring an ever growing importance. In order to tackle the nonlinearity and illposedness of the underlying inverse scattering problems, several inversion approaches have been formulated in the scientific community. In this framework, an efficient Gauss-Newton method, based on a regularization in Banach spaces, has been recently developed and numerically tested. In this paper, an experimental validation of the approach using real data is provided.