对鸟类目标进行高分辨成像是确保飞行安全的重要举措。 针对现有雷达分辨率过低问题,提出了 利用逆合成孔径激光雷达进行鸟类目标高分辨成像探测的构想。给出了逆合成孔径激光雷达实现鸟类成 像的原理框图,以此为基础,提出了一种基于压缩感知的稀疏合成方法,该方法能以较少的有效数据 获得准确的高分辨方位像。仿真结果证明了方法的有效性。

High-resolution imaging avian is quite significant for aviation security. Aimed at improving the lower resolution of the existed radar, an idea about avian detected and imaged by using inverse synthetic aperture imaging lidar (ISAIL) was proposed. The principle sketch of the avian ISAIL system was given, and a new sparse synthesizing method based on compressed sensing (CS) was proposed. By using the proposed method, the exact high-resolution cross-range profile can be achieved with the incomplete effect data. This method is robust. The effectiveness of the proposed method can be validated by simulation results.