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| Citation: | SUN Dou, LU Dongwei, XING Shiqi, et al. Full-polarization SAR joint multidimensional reconstruction based on sparse reconstruction
[J]. Journal of Radars, 2020, 9(5): 865–877. doi: 10.12000/JR20092
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Full-polarization SAR Joint Multidimensional Reconstruction Based on Sparse Reconstruction
doi: 10.12000/JR20092
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Abstract
Independent processing of each polarization channel and three-dimensional multistage imaging ignore the correlation between data, resulting in the mismatch between scattering centers and the inaccurate acquisition of polarization scattering matrices. To address these issues, a full-polarization Synthetic Aperture Radar (SAR) joint multidimensional reconstruction method based on sparse reconstruction is proposed in this study. In this method, all polarization channels and dimensions are integrated by setting the joint sparse constraints, and the full-polarization SAR joint multidimensional reconstruction is modeled as a multichannel joint sparse reconstruction problem. After the model is simplified by data interpolation, an efficient model-solving method is proposed by combining the three-dimensional fast Fourier transform, conjugate gradient method, and Newton iteration method, where the polarization scattering matrix and three-dimensional information of the target can be obtained at the same time. The proposed method ensures that the sparse support sets of different polarization channels and dimensions are consistent and utilizes the additional information generated by the correlation between data. On the basis of the simulation and electromagnetic calculation data, the experimental results indicate that the proposed method is tolerant of noise and immune to the types of targets. Moreover, the proposed method can effectively obtain the multidimensional reconstruction results of the target, where both the resolution of the imaging results and the estimation accuracy of the polarization scattering matrix are high. -
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References
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- Figure 1. Each polarization channel’s imaging results of simulated targets
- Figure 2. Full polarization joint multi-dimensional reconstruction results of simulated targets
- Figure 3. CAD model of Slicy
- Figure 4. Each polarization channel’s imaging results of Slicy
- Figure 5. Full polarization joint multi-dimensional reconstruction results of Slicy
- Figure 6. CAD model of satellite
- Figure 7. Each polarization channel’s imaging results of satellite
- Figure 8. Full polarization joint multi-dimensional reconstruction results of satellite