Microwave Tomographic Imaging of Dielectric Objects Using Newton-Kantorovich Algorithms

Z Wu, H McCann, L E Davis, A Boughriet and A T Nugroho

Department of Electrical Engineering & Electronics

UMIST, P O Box 88, Manchester M60 1QD, UK

z.wu@umist.ac.uk

ABSTRACT

An existing Newton-Kantorovich (NK) algorithm and a new Modified Newton-Kantorovich (MNK) algorithm are described for image reconstruction of dielectric objects. The reconstructed images using simulation and experimental data are also presented. The simulation results show that images of dielectric objects can be well reconstructed using both algorithms when the dielectric contrast, with respect to air, is relatively low. However, the MNK algorithm has a higher contrast limit and converges faster. The experimental study of a dielectric object at 2.45GHz using 16x16 views shows that the image of the experimental model can be well reconstructed using the MNK algorithm.

Keyword: Microwave, Algorithm, Tomography, Imaging