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针对空间高轨目标、微纳卫星等点目标姿态信息难以获取的问题,跟踪了国内外基于光度数据反演目标特征信息的最新动态,分析了目前基于光度数据姿态反演的主要方法及特点。分析结果表明,基于非线性滤波的姿态反演方法能够高精度地反演目标姿态,近实时地解决目标稳定以及机动状态的姿态反演问题,是未来姿态反演的主要方向。在此基础上,进一步剖析了非线性滤波姿态反演需要突破的关键问题,包括形状模型反演、双向反射分布函数模型选取和参数确定以及非线性滤波算法的讨论。
In view of the difficulty of obtaining target attitude information of high-altitude targets and micro-nano satellites in space, the latest developments of target feature information retrieval based on photometric data are tracked at home and abroad. The main methods and characteristics of attitude inversion based on photometric data are analyzed. The analysis results show that the attitude inversion method based on nonlinear filter can accurately retrieve the target attitude and solve the problem of target stability and maneuver attitude retrieval in near real time, which is the main direction of attitude inversion in the future. On this basis, the key issues that need to be overcome in the inversion of attitude of nonlinear filtering are further analyzed, including the retrieval of shape model, the selection of bivariate reflection distribution function model, the determination of parameters and the discussion of nonlinear filtering algorithm.