MICROWAVE TOMOGRAPHY FOR COMPACT-SUPPORT DIELECTRIC OBJECTS

A technique for imaging compact-support dielectric objects from microw ave backscattering data is proposed. It is based on a linear data mode l, which permits the evaluation of the object spectrum on a band-pass region, and the application of the Projected Landweber method for spec trum extrapolation. The performance of the resulting algorithm is then investigated as a function of the relaxation parameter and the possib le preconditioning strategy. Several experimental results are shown bo th for noiseless and noisy cases. This algorithm is shown to be an add itional possibility to be taken into consideration, alongside the clas sical linear algorithms and the fully nonlinear ones. The experimental results show that the solutions are far better than the ones obtained by linear methods, yet require far fewer computations than the nonlin ear approaches. (C) 1998 John Wiley & Sons, Inc.