Simulations of tomographic imaging of various target scenarios using noise waveforms

Two-dimensional cross-section images of various cylindrical shapes of metallic targets are obtained based on the theory of diffraction tomography. Specifically, multiple iid ultra-wideband random noise waveforms are transmitted, and the tomographic images of PEC targets with sharp edges and angles are reconstructed with the backward scattering data of each transmitted iid noise waveforms over a frequency range from 8GHz to 10GHz. The image quality of the reconstructed tomographic images is measured by calculating the cumulative mean squared error between the corresponding pixels of the reference images and the reconstructed images.