Super-Resolution Reconstruction of Radar Tomographic Image Based on Image Decomposition

In this letter, the relationship between target scattering function and point spread function of radar tomographic imaging is discussed, and an inherent super-resolution reconstruction algorithm based on image decomposition (ID) is proposed. By removing the cross disturbance due to the resolution limitation, the exact radar images can be obtained. Furthermore, the total least-square regulation is applied to the ID-based algorithm in cases of additive white Gaussian noise and small parameter estimation error. Finally, the effectiveness of the proposed algorithm is demonstrated via numerical simulations.