A Fused-Lasso-Based Doppler Imaging Algorithm for Spinning Targets With Occlusion Effect

The occlusion effect of targets with the spinning motion is usually ubiquitous when illuminated by the radar. Considering this effect in a single range Doppler imaging for spinning targets is of practical significance. In this paper, we develop a novel approach to image spinning targets with occlusion effect, which is referred to as a fused-Lasso-based Doppler-only snapshot imaging. Due to the spinning motion, the radar illuminates different parts of the target at each observation instant, which causes the backscattering intensities of the scatterers, are slowly time-varying. The 2D fused-Lasso model is introduced to capture this time-varying characteristic. Furthermore, the underlying factors for the imaging performance are thoughtfully analyzed. The proposed method is able to adaptively estimate the shadowed region, do Doppler imaging, and work well in low radar pulse repetition frequency situations. Finally, a series of simulations is carried out to validate the performance of the proposed method.