多站ISAR空间目标姿态估计方法

该文提出一种基于多站逆合成孔径雷达(ISAR)序列成像的空间目标姿态估计方法。方法提取各帧ISAR图像中目标的典型线性结构，结合目标轨道信息实现关键部件姿态估计。该文建立了较为稳健的空间目标ISAR几何结构分析流程，采用Radon变换对太阳能翼、平板天线等线性结构进行提取和关联，继而估计典型线性结构在距离-多普勒成像平面的姿态角变化，同时利用卫星轨道信息获得ISAR距离-多普勒投影矩阵进行线性结构的3维姿态解算，最终实现典型部件姿态的优化求解估计。仿真实验验证了所提算法可有效实现空间目标典型部件的姿态估计，同时利用多站ISAR观测数据可有效提升算法的估计精度。

Attitude Estimation for Space Satellite Targets with Multistatic ISAR Systems

A new method for attitude estimation for space satellite targets is presented by extracting typical linear structures in ISAR imaging sequence and using information of targets position in orbits to analyze the three-dimensional attitude of space satellite targets. With the analyzing process for space satellite targets geometric structures, the algorithm utilizes Radon transformation to realize the extraction of linear structures, like solar wings, planar antennas, in ISAR imaging sequences. After finishing the relevance of these linear structures among different frames, the angle information of typical linear structures in range-Doppler plane is extracted. At last, with targets position information in orbits, a matrix sequence of the ISAR range-Doppler projection is acquired to estimate the three-dimensional attitude of linear structures, and realize exact solution of space satellite targets attitude. The simulation experiment result illustrates that the algorithm can realize the attitude estimation of typical units in space satellite targets, and the multistatic model algorithm shows its advantage in estimation accuracy.