Strong Scatterer Reconstruction Based on Chirp-pulse Microwave Computed Tomography

The chirp pulse microwave computed tomography (CP-MCT) is an efficient method for weakly scattering objects imaging. In this paper, we investigate the possibility of reconstructing the strong scatterer by adopting the same principle of CT. For this purpose, the chirp pulse is employed to sense an unknown object, thus the delays and attenuations of different paths can be calculated by the Fourier transform, which is known as the microwave time delay spectrum (MTDS). Then, a two-step direct wave extraction method is proposed to pick out the path which interacts with the object straightly. After obtaining the projections at different positions around the object, the TVAL3 algorithm is utilized to reconstruct the scatterer. Finally, numerical simulations validate the proposed method.