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| Citation: | Yan Min, Wei Shunjun, Tian Bokun, Zhang Xiaoling, Shi Jun. LASAR High-resolution 3D Imaging Algorithm Based on Sparse Bayesian Regularization[J]. Journal of Radars, 2018, 7(6): 705-716. doi: 10.12000/JR18067
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LASAR High-resolution 3D Imaging Algorithm Based on Sparse Bayesian Regularization
doi: 10.12000/JR18067
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Abstract
Linear Array Synthetic Aperture Radar (LASAR) is a novel and promising radar imaging technique. It is difficult to achieve high-resolution LASAR three-dimensional (3D) imaging using the traditional imaging methods based on match filter, because of limitations by the sizes of the linear array antenna and the platform. In this paper, by exploiting the prior distribution of the LASAR echoes and the observed scene, an LASAR high-resolution 3D algorithm based on sparse Bayesian regularization is proposed. The algorithm first combines the Bayesian principle and maximum likelihood estimation theory, and then a sparse Bayesian minimum cost function is constructed for LASAR target recovery. Second, using an iterative regularization reconstruction method, high-resolution imaging of LASAR sparse targets is achieved by solving a joint-norms optimization problem. In addition, for the problem of a large amount of sparse Bayesian regularization imaging, combined with the position prediction fast imaging idea, the threshold segmentation algorithm is used to extract the strong target of sparse coarse imaging, and then the algorithm operation efficiency is improved. Simulation and experiment results are presented to confirm the effectiveness of the algorithm. -
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References
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- Figure 1. The geographic model of down-looking LASAR imaging
- Figure 2. Fast SBR algorithm flow chart
- Figure 3. The simulated model
- Figure 4. The imaging results of the point targets scene (Left: all data; Middle: 50% randomly selected data; Right: 20% randomly selected data)
- Figure 5. The imaging results of the airplane model (Left: all data; Middle: 50% randomly selected data; Right: 20% randomly selected data)
- Figure 6. Airplane model imaging evaluation results
- Figure 7. The ground-based LASAR experiment
- Figure 8. The virtual array antenna and the echo of the ground-based LASAR
- Figure 9. The imaging results of experimental data (Left: all data; Middle: 50% randomly selected data; Right: 20% randomly selected data)
- Figure 10. Experimental data imaging evaluation results