An aerospace vehicle in high-speed flight involves distributed multiple fields of view (FoVs) of a star sensor, and the maneuvering of the vehicle requires inertial-aided star pattern matching. Accordingly, an inertial-aided star pattern matching method for distributed multiple FoVs is proposed. First, the observation and fusion principles of distributed multiple FoVs are illustrated. Then, an inertial-aided star pattern matching scheme is designed based on the space-time distribution of the line-of sight (LoS) vector and inertial measurement information. Next, an LoS vector estimation method assisted by inertial information and the dynamic establishment of a distributed local catalog are proposed. Finally, in a simulation, the dynamic establishment of the part catalog improves the efficiency of star pattern matching by reducing the catalog scale, and the usability of inertial-aided star pattern matching is analyzed for different gyro and accelerometer precisions.

中文翻译：

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一种新型的分布式FoV惯性辅助星型匹配方法

高速飞行中的航空航天器涉及星形传感器的分布式多个视场（FoV），并且机动操作需要惯性辅助星形模式匹配。因此，提出了一种用于分布式多个FoV的惯性辅助星型匹配方法。首先，说明了分布式多个FoV的观察和融合原理。然后，基于视线（LoS）矢量和惯性测量信息的时空分布，设计了一种惯性辅助星型匹配方案。接下来，提出了一种基于惯性信息的LoS矢量估计方法和分布式本地目录的动态建立方法。最后，在仿真中，零件目录的动态建立通过减小目录规模来提高星形匹配的效率，