Ultrawideband (UWB) waveforms achieve excellent spatial resolution for better characterization of targets in tomographic imaging\napplications compared to narrowband waveforms. In this paper, two-dimensional tomographic images of multiple scattering\nobjects are successfully obtained using the diffraction tomography approach by transmitting multiple independent and identically\ndistributed (iid)UWBrandomnoise waveforms.Thefeasibility of using a randomnoise waveformfor tomography is investigated by\nformulating a white Gaussian noise (WGN) model using spectral estimation. The analytical formulation of object image formation\nusing random noise waveforms is established based on the backward scattering, and several numerical diffraction tomography\nsimulations are performed in the spatial frequency domain to validate the analytical results by reconstructing the tomographic\nimages of scattering objects. The final image of the object based on multiple transmitted noise waveforms is reconstructed by\naveraging individually formed images which compares very well with the image created using the traditional Gaussian pulse. Pixel\ndifference-based measure is used to analyze and estimate the image quality of the final reconstructed tomographic image under\nvarious signal-to-noise ratio (SNR) conditions. Also, preliminary experiment setup andmeasurement results are presented to assess\nthe validation of simulation results.
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