基于压缩传感的线阵SAR三维成像方法研究

线阵SAR是一种新型雷达三维成像技术。由于实际中线阵天线长度有限，基于匹配滤波的传统线阵SAR成像方法不仅需要大量的阵元数，而且在切航迹向的分辨率也较低。结合三维场景空间目标的稀疏特征，提出一种基于压缩传感理论的高分辨线阵SAR三维成像方法。相对于传统匹配滤波线阵SAR三维成像方法，本方法只利用少量的稀疏天线阵元回波对切航迹向的稀疏散射目标进行L1范数优化重构，大大抑制了切航迹向旁瓣影响并显著提高分辨率。最后，通过线阵SAR点目标仿真三维成像表明了本文算法的有效性。

Linear Array SAR 3\|D Imaging Based on Compressed Sensing

Linear array SAR (LASAR) is a new technology for three\|dimensional (3\|D) radar imaging. Limited by the length of linear array antenna, the classical LASAR 3\|D imaging method based on the traditional matched filter method not only requires a large number of linear array elements, but also obtains low resolution in cross\|track (CT) direction. In this paper, conbined with the sparse feature of 3\|D illuminated scene, a novel high resolution imaging method based on compressed sensing (CS) for SAR 3\|D imaging is presented. The method is used to reconstruct the image of sparse targets by solving a convex optimization problem based on L1 norm minimization with only a small number of linear array elements. Compared with the conventional matched filter imaging method, the presented CS method significantly suppresses the sidelobe effects and improves the imaging resolution in CT direction. Finally, numerical simulation results data show that the presented method outperforms the conventional match filter and the validity of the method is confirmed.