基于平滑l0范数的高分辨雷达一维成像研究
doi: 10.3724/SP.J.1146.2011.00418
High-resolution Radar One-dimensional Imaging Based on Smoothed l0 Norm
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摘要: 雷达高分辨距离像对于目标检测、识别具有重要意义。该文针对高频区雷达散射响应的特点,采用稀疏信号表示方法研究了雷达高分辨1维成像问题。以理想点散射模型为基础,构造了相应的过完备基,并引入平滑l0范数法实现雷达高分辨成像。实验结果表明该方法在观测数据采样率降低、观测数据缺失等实验条件下均能正确成像,验证了该方法的有效性。Abstract: Radar High Range Resolution Profile (HRRP) plays an important role in target detection and recognition. For the properties of radar scattering response at high frequencies, a novel radar high-resolution imaging method using sparse signal representation is proposed in this paper. Based on ideal point-scattering model, an overcomplete basis is constructed, and an algorithm via smoothed l0 norm is also introduced to obtain radar HRRP. Experimental results indicate that good HRRP can be reconstructed even under the condition of data sampling rate decreasing or observation data missing, which shows that the proposed method is an effective radar imaging method.
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Key words:
- Radar high-resolution imaging /
- Super-resolution /
- Sparse representation /
- l0 norm
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