基于组网雷达的有翼弹道目标三维成像

组网雷达的多视角特性有利于获取目标的真实空间结构。该文在构建有翼进动目标回波模型的基础上，分析不同类型散射中心的微多普勒信息变化率的变化趋势，对微多普勒信息进行分离提取。利用非线性最小二乘拟合获取散射中心的幅度、相位信息。基于微动特征的不变性，利用多部雷达锥顶散射中心的幅度信息估计微动特征和坐标转换参数。然后根据各散射中心在不同视角上投影分量的差异，实现尾翼散射中心的匹配，之后求解散射中心的瞬时空间位置，实现目标重构。仿真验证了算法的有效性，并分析了微动参数和信噪比对重构结果的影响。

Three-Dimensional Imaging of Ballistic Targets with Vanes Based on Netted Radar

The multi-angle characteristic of netted radar is helpful in obtaining the actual space structure of ballistic targets. In this paper, the echo model for precession targets with vanes is established. Based on the model, the rate of change of micro-Doppler for different scattering centers are analyzed, and the micro-Doppler information is extracted. Then the nonlinear least-square fitting is introduced to obtain the amplitude and phase information of scattering centers. Amplitude information of scattering centers at the conical point obtained from radars is used to estimate micro-motion characteristics and parameters of coordinate transformation. According to the distinctions among different projection components of scattering centers under different perspectives, scattering centers of fins are matched, and the instantaneous space coordinates are calculated to reconstruct the targets. Finally, simulations verify the effectiveness of the proposed method, and the influence of micro-motion parameters and SNR (Signal to Noise Ratio) on reconstruction results are analyzed.