Radar target imaging using three-dimensional space Radon-Fourier transform

The radar target's reconstructed high-resolution images provide important features for target identification. Normally, the radar images are obtained with the cascaded steps of translational motion compensation (TMC), image reconstruction and rotation velocity (RV) retrieval for inverse synthetic aperture radar (ISAR). It is found in this paper that the high-resolution target's image can be obtained with a single step via the proposed three-dimensional space Radon-Fourier transform (3DS-RFT). Furthermore, the relationship is well discussed in this paper between the ISAR and 3DS-RFT as well as the 3D distribution of 3DS-RFT image. It is shown that the proposed 3DS-RFT may be a more generalized imaging approach of moving target. Besides, the fast implementation of 3DS-RFT is also provided based on particle swarm optimizer (PSO). Finally, the results of both the numerical experiments and real measuring data are provided to demonstrate the effectiveness of the proposed method.