New Star Identification Algorithm for Multiple Star Trackers with Unequal Qualities

This paper discusses a new star identification algorithm for multiple star trackers with unequal qualities. This algorithm is inspired by the star identification algorithm for small-FOV (Field-of-View) star trackers, which allows the star identification across the images as well as that within the image. The feature of this algorithm is that it has the robustness to the quality difference of the star trackers when more than one is used. By simulation, this feature is demonstrated and the feasibility of the algorithm is shown.