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中文摘要：
在ISAR成像中，基于脉冲压缩的处理方法不可避免地会产生目标旁瓣现象。为了有效的抑制目标旁瓣，提高目标识别能力，文中提出了一种基于压缩感知理论的ISAR成像方法，该方法根据雷达原始回波信号与参考信号作差频处理后所得信号的稀疏特性，构造合理的傅里叶基矩阵实现雷达数据的稀疏表征，然后利用正交匹配追踪算法重构目标谱图，并得到目标旁瓣被有效抑制的目标ISAR像。最后，通过仿真实验验证了文中方法的有效性和可行性。
英文摘要：
The technology of pulse compression, which always causes sidelobe, is widely used in radar system. In order to suppress target sidelobe availably and improve the imaging quality, a new method of ISAR imaging based on compressed sensing （CS） was proposed in this paper. In the method, we should firstly multiply the returned signal by conjugate of reference signal, construct a reasonable Fourier sparse basis matrix to realize the sparseness of radar data. Next, the spectrogram information was recovered by using the orthogonal matching pursuit algorithm（OMP）, and the ISAR image whose sidelobe was suppressed successfully was got. Finally, the results with simulation data validated the feasibility and superiority of the approach.
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