摘要
针对X射线脉冲星组合导航系统中测量野值导致的导航精度下降问题,利用基于残差正交性的Unscented Kalman Filter(UKF)容错滤波方法进行野值修正。在深空巡航段,采用基于X射线脉冲星和太阳观测的组合导航方式,用X射线探测器测量脉冲星光子到达时间,利用太阳敏感器测量太阳视线方向矢量,并利用联邦滤波结构进行信息融合。仿真结果表明,基于UKF的容错滤波算法在脉冲星组合导航系统的应用中,能够对野值进行实时修正,避免了导航精度下降,提高了系统的鲁棒性和工程实用价值。
In view of the low navigation accuracy caused by the outliers in the pulsar-based integrated navigation system, a residual orthogonal unscented Kalman filter (ROUKF) was employed to correct the outliers. During interplanetary cruise, an integrated navigation was applied which included X-ray pulsar navigation system and sun observation navigation system. The X-ray detector was used to record the arrival times of pulsar photons. The sun sensor was used to measure the sun line-of-sight vector. The information fusion was conducted by the federated filter. Simulation results demonstrate that the ROUKF in the pulsar-based integrated navigation system can effectively correct the outliers. The proposed method improves the robust capability and the application value of the pulsar-based integrated navigation system. ©, 2014, Editorial Department of Journal of Chinese Inertial Technology. All right reserved.
出处
《中国惯性技术学报》
EI
CSCD
北大核心
2014年第6期759-762,共4页
Journal of Chinese Inertial Technology
基金
空间科学预先研究项目(XDA04074300)
关键词
脉冲星
太阳敏感器
UKF滤波
野值检测
容错滤波
Fault detection
Kalman filters
Navigation systems
Nonlinear filtering
Statistics
