CAJ | 학술논문

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。
기우공중운동목표회파신호적희소특성，제출료일충기우압축감지（CS）적선성조빈보진신호（SFCS）희소자맥충자괄응고분변뢰체성상방법。재대목표진행희소성상시，근거목표회파희소특성여발사신호자맥충수지간적관계，건립상응적희소자맥충동태폐배반궤계통，실현발사신호자맥충수량적자괄응조정；결합각맥충족중자맥충적희소정황，건립상응적부분역부리협변환기구진，병이용정교필배추종（OMP）산법대목표고분변거리상（HRRP）진행중구처리，진이실현대목표적고분변성상。방진결과험증료해방법적유효성。
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.