Application of Contrast Source Inversion Algorithm for Reconstructing Complicated Targets from Experimental Transverse Electric Data

In this paper the nonlinear domain integral equation based methods are applied to reconstruct two complicated targets in an anechoic chamber from electromagnetic microwave tomography data. The applied algorithms are the contrast source inversion (CSI) algorithm and the CSI algorithm with extended approaches, for instance, frequency approach and regularization approach. Inversion results from the transverse electric (TE) polarization datasets using the multi-frequency multi-bistatic measurements are presented and compared, which verify the CSI algorithm with extended approaches is a promising method for microwave tomography.