基于多快拍图像联合的MIMO雷达三维成像方法

为了提高多输入多输出(MIMO)雷达三维成像沿运动方向的方位分辨率，该文从多快拍图像联合利用的角度入手，提出一种新的多输入多输出-逆合成孔径雷达(MIMO-ISAR)三维成像方法。其基本思路是通过对一段时间观测下二维平面阵列获取的多个单快拍三维图像进行相干处理，沿着散射点线性拟合的方向提取峰值并重构出新的三维图像。仿真实验结果表明，与单快拍三维成像方法相比，该方法可以显著提高成像结果沿运动方向的方位分辨率；与现有基于重排和插值的经典MIMO-ISAR方法相比，该方法对慢速和快速运动目标均适用，得到的成像结果聚焦良好并能够有效抑制沿运动方向的旁瓣。 

Three-dimensional Multiple-Input Multiple-Output Radar Imaging Method Based on Integration of Multi-snapshot Images

To improve the cross-range resolution of three-dimensional (3-D) images obtained along the direction of movement by Multiple-Input Mmultiple-Output (MIMO) radar, a novel MIMO-ISAR 3-D imaging method that combines multi-snapshot images is proposed. This method integrates multiple single-snapshot 3-D images acquired by a planar antenna array during a specific period of observation and extracts the peak slice along the linear fitting direction of the scatterers to construct a new 3-D image. The simulation results demonstrated that the proposed method significantly improves the cross-range resolution of the imaging results along the direction of movement compared with other methods based on single-snapshot 3-D images. Additionally, compared with the classical MIMO-ISAR method based on rearrangement and interpolation, this method is suitable for both fast-moving and slow-moving targets. Moreover, the imaging results are well focused and the side lobes along the direction of movement are effectively suppressed.