An Accurate Echo-Acquisition Method for PEC/Coated Targets by GTD-Based Gridless Compressed Sensing

A novel geometrical theory of diffraction (GTD)-based echo-generation approach for perfectly electromagnetic conducting (PEC) and coated targets is proposed, which applies gridless compressed sensing (CS). First, the GTD model for both the PEC and coated targets is established. These GTD models can thus be used to obtain the scattering-echo. The gridless CS method is then used to estimate the GTD model’s phase information, offering a continuous parametric estimation. Next, the genetic algorithm (GA) is used to determine the amplitude and frequency dependency. Finally, the scattering echo at various observed angles can be quickly recorded, yielding high-resolution range profile imaging results. The numerical results show that the proposed method predicts echo more accurately than traditional optimization methods.