基于压缩感知的稀疏阵列MIMO雷达成像方法
doi: 10.3724/SP.J.1146.2011.00287
An Imaging Method for MIMO Radar with Sparse Array Based on Compressed Sensing
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摘要: 针对MIMO雷达对空目标单次快拍成像时天线数目较多问题,该文提出了一种稀疏阵列MIMO雷达的成像方法。首先分析了MIMO雷达天线的稀疏布阵方式,其次结合压缩感知理论具体阐述了稀疏阵列MIMO雷达的成像方法。该方法不仅能够对运动目标实现单次快拍成像,避免了目标机动带来的运动补偿难题,同时又能够大幅减少MIMO雷达的天线规模,便于工程实现。最后利用仿真实验验证了所提方法的有效性。Abstract: The number of antenna elements of MIMO radar is too many when imaging for moving target with single snapshot. To solve the problem, an imaging method for MIMO radar with sparse array is proposed. Firstly the configuration of sparse antenna array is analyzed. Then, combining Compressed Sensing (CS) theory, a novel imaging algorithm for MIMO radar with sparse array is put forward. Single snapshot imaging for moving target is implemented by this algorithm, which not only can avoid the difficulty of motion compensation aroused by the targets maneuver, but also can reduce the number of antenna, it is the advantage to engineering practice. Finally, the effectiveness of this algorithm is validated by the simulative results.
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Key words:
- MIMO radar /
- Sparse array /
- Compressed Sensing (CS) /
- Single snapshot imaging
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