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A Novel Inertial-Aided Star Pattern Matching Method for Distributed Multiple FoVs

机译:一种用于分布式多功能的新型惯性辅助星形模式匹配方法

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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.
机译:高速飞行中的航空航天车辆涉及分布于星传感器的多个视野(FOV),并且车辆的操纵需要惯性辅助星形模式匹配。因此,提出了一种用于分布多个FOV的惯性辅助星形模式匹配方法。首先,示出了分布式多功能的观察和融合原理。然后,基于视域(LOS)矢量和惯性测量信息的时空分布设计了惯性辅助星形模式匹配方案。接下来,提出了通过惯性信息辅助的LOS矢量估计方法和分布式本地目录的动态建立。最后,在模拟中,通过降低目录量表来提高零件目录的动态建立,提高了星形模式匹配的效率,并分析了不同陀螺仪和加速度计精度的惯性辅助星形模式匹配的可用性。

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