基于微动特征关联的空间非对称自旋目标雷达三维成像方法

由于非对称自旋目标在不同视角下宽带雷达观测到的散射点分布存在较大差异，因而需要单独研究其组网雷达成像算法。该文利用位于不同位置的两部宽带雷达获得的自旋目标1维距离像序列，基于非对称自旋目标多个散射中心的微动特征不变性，实现了自旋目标同一散射中心的关联，进而得到与目标真实尺寸相一致的3维像。仿真结果表明该算法重构精度好，对于散射中心的遮挡效应及RCS闪烁均不敏感。

A Method of Three-dimensional Imaging Based on Micro-motion Feature Association for Spatial Asymmetrical Spinning Targets

Owing to the differences among scatterer distributions observed by wideband radars with different viewing angles, it is necessary to research the network radars imaging algorithm for asymmetrical spinning targets. By making use of the range profile series of spinning target obtained by two wideband radars at different locations, the scatterer association is accomplished based on the micro-motion feature invariability of asymmetrical spinning target. Then, the three-dimensional image, which can provide the real size of the target, is obtained. The simulation demonstrates the high precision of the proposed algorithm, and insensitivity to sheltering effects and RCS fluctuation of scatterers.