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中文摘要：
基于空中运动目标回波信号的稀疏特性，提出了一种基于压缩感知（CS）的线性调频步进信号（SFCS）稀疏子脉冲自适应高分辨雷达成像方法。在对目标进行稀疏成像时，根据目标回波稀疏特性与发射信号子脉冲数之间的关系，建立相应的稀疏子脉冲动态闭环反馈系统，实现发射信号子脉冲数量的自适应调整；结合各脉冲簇中子脉冲的稀疏情况，建立相应的部分逆傅里叶变换基矩阵，并利用正交匹配追踪（OMP）算法对目标高分辨距离像（HRRP）进行重构处理，进而实现对目标的高分辨成像。仿真结果验证了该方法的有效性。
英文摘要：
Based on the sparse characteristic of echoes, a method for adaptively high resolution radar imaging based on Compressed Sensing（CS）using sparse Stepped Frequency Chirp Signal（SFCS）is proposed. A dynamic closed-loop feed-back system is built up according to the relationship between the sparsity of the target’s echoes and the number of sub-pulses, realizing the self-adaptive modulation of the transmittal. The corresponding partial inverse Fourier basis matrix is constructed using the sparsity of subpulses in the spectrogram. Via the algorithm of Orthogonal Matching Pursuit（OMP）, it can reconstruct the High Resolution Range Profile（HRRP）of the target thereby yielding the target’s image with high resolution. Finally, simulation results validate the effectiveness of the proposed method.
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