A microwave tomographic technique to enhance real-imaginary permittivity image quality

Abstract

Typical microwave tomographic techniques reconstruct the real part of the permittivity with much greater accuracy as compared to the imaginary part. In this paper, we propose a method to mitigate the imbalance between the reconstructed complex permittivity components. To do so, the cross-sectional complex permittivity is expressed as summation of some known permittivities weighted by their corresponding fractions. We reconstruct the unknown complex permittivity of the imaging domain by computing the fractions of the known permittivities. A modified Gauss-Newton algorithm formulated for this particular scenario, is employed. Simulation results show that while direct reconstructions of the complex permittivity sometimes fail to obtain balance between relative permittivity and conductivity images, the proposed method leads to excellent reconstruction for both permittivity components.