Ultra-wideband noise radar imaging of cylindrical PLC objects using diffraction tomography

In this paper, we show that a single transmission of a random noise IA avefonn may not sufficient to obtain a successful tomographic image of an object. In order to overcome this shortcoming, multiple independent and identically distributed (iid) random noise yvavefonus over a frequency range from to 10 GHz are transmitted to reconstruct the final image of various objects. Diffraction tomography theorem is applied for each noise wavefonu transmission so that the image of the multiple objects is reconstructed based on the backward scattered field at the end of each noise wavefonu transmission realization. After all iid noise ly avefonus are transmitted, the final tomographic image of the target is reconstnicted by averaging all obtained images from multiple transmissions. Several numerical simulations in the spatial frequency domain are performed, and the successful tomographic image of the multiple cylindrical PEC objects is achieved after transmission of multiple iid ultra-wideband (UWB) random noise waveforms.