| 引用本文: | 陈忠贵,刘光明,廖瑛,等.广播星历参数星上自主拟合算法.[J].国防科技大学学报,2011,33(3):1-4,32.[点击复制] |
| CHEN Zhonggui,LIU Guangming,LIAO Ying,et al.Autonomously Updated Broadcast Ephemeris Algorithm[J].Journal of National University of Defense Technology,2011,33(3):1-4,32[点击复制] |
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| 广播星历参数星上自主拟合算法 |
| 陈忠贵, 刘光明, 廖瑛, 文援兰 |
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(国防科技大学 航天与材料工程学院，湖南 长沙 410073)
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| 摘要: |
| 导航星座自主导航要求卫星能自主生成导航电文，针对星载计算机的处理能力有限，引入基于遗忘因子的递推最小二乘估计算法实现快速拟合广播星历。针对导航卫星轨道偏心率近似为0，在数据拟合过程中会导致法矩阵(HTH)奇异的问题，提出基于无奇异变换的广播星历参数拟合算法，引入无奇异轨道根数代替经典开普勒根数，迭代拟合得到改进广播星历参数，再将结果归一化到基于开普勒根数的广播星历参数。利用仿真算例验证了广播星历星上自主拟合算法的合理性。 |
| 关键词: 星上自主更新 广播星历参数 无奇异变换 递推最小二乘 |
| DOI： |
| 投稿日期：2010-11-08 |
| 基金项目:国家863基金资助项目(2007AA12Z308) |
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| Autonomously Updated Broadcast Ephemeris Algorithm |
| CHEN Zhonggui, LIU Guangming, LIAO Ying, WEN Yuanlan |
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(College of Aerospace and Materials Engineering, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| The navigation constellation's autonomous navigation requires the autonomously updating of the broadcast ephemeris. In view of the limited data-processing ability of the satellite, the forgetting factor recursive least-squares algorithm was introduced to improve the data-processing efficiency. Considering that the navigation satellite's orbit eccentricity is equal to zero approximately, it would result in the singularity of the normal matrix in the process of fitting. The new broadcast ephemeris parameters fitting algorithm was developed and the partial derivative matrix of satellite position vector with respect to modified parameter was deduced based on the non-singular transformation. Finally, the rationality of formulas and algorithm are validated by simulation. |
| Keywords: onboard updated technique broadcast ephemeris parameters non-singular transformation recursion least square |
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