Quasi-consistent fusion navigation algorithm for DSS

作     者：Qiya SU Yi HUANG Yanguang JIANG Haitao FANG 

作者机构：Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences Beijing Institute of Control and Electronics Technology 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2018年第61卷第1期

页      面：187-203页

核心收录：

学科分类：08[工学] 080401[工学-精密仪器及机械] 081105[工学-导航、制导与控制] 0804[工学-仪器科学与技术] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

基　　金：supported by National Basic Research Program of China (973 Program) (Grant No. 2014CB845303) National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences 

主　　题：quasi-consistent extended Kalman filter(QCEKF) extended Kalman filter(EKF) fusion algorithm navigation distributed satellites system(DSS) 

摘      要：A fusion navigation algorithm for the distributed satellites system(DSS) utilizing relative range measurements is proposed in this paper. Based on the quasi-consistent extended Kalman filter(QCEKF), an on-line evaluation of the navigation precision can be provided by the fusion navigation algorithm. In addition,the upper bound for the estimation error obtained from the fusion navigation algorithm is lower than those with any groups of measurements, which indicates that the fusion navigation algorithm can automatically choose the suitable redundant measurements to improve the navigation precision. The simulations show the feasibility and effectiveness of the proposed fusion navigation algorithm.