摘要
传统的星图识别算法在星敏感器捕获到少于3颗星时不能进行星图识别,因此,就不适用于小视场星敏感器。然而,某些情况下为了满足低功耗、小型化等要求,小视场星敏感器可以发挥作用。针对这种情况,文中提出了一种小视场星敏感器的星图识别算法。该算法利用陀螺的输出信息和载体上一时刻的姿态信息,形成当前时刻的投影星,利用新算法能够将投影星与拍摄星进行匹配识别。这种星图识别方法能够在星敏感器只捕捉到一颗星或者两颗星的情况进行识别。仿真实验证明,该方法具有可行性,适用于小视场星敏感器。
The traditional star identification algorithm cannot be achieved when the star tracker captures less than 3 stars.In this situation,it is inappropriate for the star tracker with small FOV(Field of View).However,in some situation mini-type and small power dissipation are significant,which means the star tracker with small FOV is necessary.To solve this contradictory problem,a star identification algorithm based on the small FOV star tracker is presented.Two types information are used to identify the stars captured by the star tracker,the information output by gyro and the attitude information achieved at the previous time.It is a practical algorithm and is suite for small FOV star tracker which has been proved by the simulation results.
出处
《电子科技》
2017年第12期71-74,共4页
Electronic Science and Technology
基金
国家自然科学基金(61271114)
关键词
小视场星敏感器
星图识别
陀螺
姿态
small FOV star tracker
star identification
gyroscope
attitude
