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机构地区:[1]南京航空航天大学导航研究中心,南京210016
出 处:《系统工程与电子技术》2006年第6期896-899,共4页Systems Engineering and Electronics
摘 要:针对传统的四元数估计(quaternion estimation,QUEST)算法在观测矢量之间夹角很小或噪声剧烈增大时,定姿性能显著降低的问题,提出一种基于当前星敏感器观测信息量的滤波算法。该算法通过引入动态增益系数,解决了历史观测信息和当前观测信息之间的比例问题。该系数能够根据当前观测矢量信息量的大小变化自适应调整,从而避免了需要另外一个滤波过程对其进行确定的复杂性。对该算法进行了仿真,对比结果表明,该算法可以有效提高系统的定姿性能。When the angles between measurement vectors are small, or measurement noise grows dramatically, the system accuracy decreases obviously using the traditional quaternion estimation (QUEST) algorithm. To resolve this, a filtering algorithm is proposed based on the current measurement information of the star sensor. The method determines the ratio of the historic measurement information to the current measurement information by introducing a dynamic gain factor. The factor can adapt itself according to the change of the current measurement information, which avoids the complexity using another filtering process to determine it. The algorithm is simulated, and the comparative results show that the proposed algorithm can effectively improve the system performance.
分 类 号:V448.22[航空宇航科学与技术—飞行器设计]
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