摘要
安全可靠的自主导航系统可提高卫星的在轨生存能力。文章研究了利用紫外敏感器测量得到的地心方向信息和星敏感器、红外地平仪获得的星光角距信息进行卫星轨道确定的自主组合导航方法。针对导航系统非线性的特点,采用Unscented卡尔曼滤波(UKF)设计了相关的信息融合方案,并通过数学仿真对其有效性进行了分析和验证。仿真结果表明,该算法可进一步提高导航系统的精度和可靠性。
A reliable and secure navigation system can improve the survival capability of satellite. A new autonomous navigation method based on information fusion is presented.It uses the direction of the earth center vector from the ultraviolet sensor and the star-light-angle from the star sensor and infrared earth sensor as the measures.For the nonlinear,using the Unscented Kalman Filter（UKF）demonstrate the feasibility and effectiveness of this method.The simulation results indicate that the fusion method can offer higher precision and reliability for orbit determination.
出处
《测绘与空间地理信息》
2011年第5期177-179,共3页
Geomatics & Spatial Information Technology
