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针对星敏感器跟踪过程的稳定性对星敏感器整体性能的影响,讨论了如何利用跟踪过程中前后两帧星图上的星点位置信息进行匹配识别的问题。为了使跟踪过程具有较高的稳定性,分析了现有星跟踪过程中匹配识别方法的优缺点,提出用“先排序后双向递推匹配”的方法来获得在“参考星邻域内出现多颗观测星”时的成功匹配能力,从而增加每一帧快速星跟踪时被成功跟踪恒星的数目;同时通过引入先确定视场边缘区域,再选取有效参考星进行匹配的思想,有效地减小误匹配发生概率,进而保证匹配的有效性。在外场对某星敏感器从初始姿态运动到最终状态的跟踪进行了实验,对蒙特卡洛法生成的全天球100个视轴方向进行星跟踪的对比分析结果表明:在姿态运动角速度较大时,利用本文提出的匹配识别方法,平均可实现约91.44%的快速星跟踪;而利用相应的对比方法,平均只能实现77.18%的快速星跟踪。分析显示本文提出的匹配识别方法具有重要的工程应用价值。
Aiming at the influence of the stability of the star sensor tracking process on the overall performance of the star sensor, the problem of how to identify the matching problem by using the position information of the star point on two star charts before and after the tracking process is discussed. In order to make the tracking process have a high stability, the advantages and disadvantages of the existing methods of matching recognition in star tracking are analyzed. The method of “first sorting and bidirectional recursion matching” is proposed to obtain the “ When there are multiple observing stars, ”the ability to successfully match, so as to increase the number of stars that are successfully tracked during each fast star tracking. At the same time, by introducing the idea of first identifying the edge of the field of view and then selecting a valid reference star for matching, To reduce the probability of mismatch, and then ensure the validity of matching. In the outfield, the tracking of a star sensor from the initial attitude to the final state was carried out. The comparative analysis of the star tracking of the 100 global axial directions generated by the Monte Carlo method shows that when the angular velocity of the attitude movement is relatively large , We can achieve about 91.44% of the fast star tracking using the matching identification method proposed in this paper. By using the corresponding comparison method, we can only achieve 77.18% of the fast star tracking on average. The analysis shows that the matching identification method proposed in this paper has important engineering application value.