Near-Field Radar Imaging Simulation using FDTD Method

In this paper, a two-dimension near-field imaging model is simulated by the finite difference time domain (FDTD), and two different imaging approaches are used to process the recorded data: back-projection (BP) and phase-shift migration. In the model, we assume a point source to emit a modulated Gauss pulse, and an array of receive sensors to collect object echoes. We first apply matched filtering to the raw data, and then use back-projection and phase-shift migration algorithms to image the objects by the processed data. The imaging results are presented to verify that these two algorithms can effectively image the near-field targets.