关键词: 雷达成像, 线性调频步进信号, 压缩感知, 自适应稀疏子脉冲, 正交匹配追踪法

Abstract: 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 feedback system is built up according to the relationship between the sparsity of the target’s echoes and the number of subpulses, 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.

Key words: radar imaging, Sparse Stepped Frequency Chirp Signal（SFCS）, Compressed Sensing（CS）, self-adapted sparse subpulses, Orthogonal Matching Pursuit（OMP）