论文标题
非二维恒星识别
Non-dimensional Star-Identification
论文作者
论文摘要
这项研究介绍了一种新的“非尺寸”星星识别算法，以可靠地识别当焦距长度和光轴偏移值以较差的精确度知道时，由广泛的视野星形跟踪器观察到的恒星。该算法特别适合补充标称在空间算法的算法，当焦距和/或光轴抵消其名义操作范围时，可能会错误地识别恒星。这些偏差可能是通过轨道上的发射振动或热变化引起的。比较金字塔算法的准确性，速度和鲁棒性比较算法性能。这些比较强调了这些方法提供的合并方法所提供的明显优势。
This study introduces a new "Non-Dimensional" star identification algorithm to reliably identify the stars observed by a wide field-of-view star tracker when the focal length and optical axis offset values are known with poor accuracy. This algorithm is particularly suited to complement nominal lost-in-space algorithms, which may identify stars incorrectly when the focal length and/or optical axis offset deviate from their nominal operational ranges. These deviations may be caused, for example, by launch vibrations or thermal variations in orbit. The algorithm performance is compared in terms of accuracy, speed, and robustness to the Pyramid algorithm. These comparisons highlight the clear advantages that a combined approach of these methodologies provides.
