A star tracker, in lost-in-space (LIS) and tracking operation modes, applies an accurate algorithm in the star identification phase. The pattern-matching-based star identification algorithms apply patterns to search a prebuilt database. By applying this newly proposed database, it is possible to apply many LIS algorithms in the LIS and tracking modes. Modifying accurate LIS mode algorithms through this proposed method and applying them in the tracking mode would improve reliability, accuracy, and speed. The simulation results indicate that this proposed approach would reduce the search time for all applied algorithms by a tens factor based on the algorithm’s specifications.

中文翻译：

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基于恒星空间相关性的数据库生成方法改进恒星识别算法

在空间丢失 (LIS) 和跟踪操作模式下，恒星跟踪器在恒星识别阶段应用准确的算法。基于模式匹配的恒星识别算法应用模式来搜索预先构建的数据库。通过应用这个新提出的数据库，可以在 LIS 和跟踪模式中应用许多 LIS 算法。通过这种提出的方​​法修改精确的 LIS 模式算法并将它们应用于跟踪模式将提高可靠性、准确性和速度。仿真结果表明，该方法将基于算法规范将所有应用算法的搜索时间减少十倍。