基于压缩感知的下视三维SAR成像新方法
doi: 10.3724/SP.J.1146.2011.01003
A New Method of Downward-looking 3D-SAR Based on Compressed Sensing
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摘要: 下视3维合成孔径雷达(Synthetic Aperture Radar, SAR)可对平台正下方目标进行3维重构，具有广阔的应用前景。为有效减少线阵天线所需阵元数，该文提出了一种基于稀疏阵列的下视3维SAR成像方法。为了抑制稀疏阵列导致的栅瓣效应，该方法结合压缩感知(Compressed Sensing, CS)理论，实现对下方3维目标的成像。分析了稀疏阵列配置对稀疏信号处理的影响以及3维成像采用稀疏信号处理的可行性。最后通过仿真实验验证了该文分析的正确性及算法的有效性。Abstract: Downward-looking 3-D Synthetic Aperture Radar (SAR) can be used for three-dimensional reconstruction of the targets in the inferior of the platform of the SAR, and it has wide application prospects. An imaging method of downward-looking 3-D SAR is proposed, which is in the case of the thinned arrays, and this method reduces effectively the antenna elements. In order to suppress the sidelobe brought by thinned arrays, the Compressed Sensing (CS) theory is used in the proposed method. This paper also analysis how distribution of the sparse arrays influences the sparse signal processing and the feasibility of using the compressed sensing theory in 3-D SAR imaging. The simulation results validate the correctness of the analysis and the effectiveness of the proposed algorithm.
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Key words:
- Compressed Sensing (CS) /
- 3-D SAR /
- Downward looking /
- Multiple-input and multiple-output
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