3D Holographic Imaging of Multi-Circular SAR Via Atomic Norm Minimization

Compared to multi-linear synthetic aperture radar (MLSAR), multi-circular SAR (MCSAR) can obtain (360°) high-resolution 3D images of the observed scenes. In this paper, a gridless compressive sensing method based on atomic norm minimization (ANM) is proposed for super-resolution holographic 3D imaging. The entire circle aperture data is divided into several subapertures, and then 3D imaging is performed independently. For all subapertures, the proposed method is utilized for tomographic domain imaging after 2D imaging and phase calibration. The final image is generated through the incoherent combination of subaperture 3D images. Finally, experiments with the GOTCHA dataset validate the effectiveness of the proposed method.