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.
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This work was supported by National Basic Research Program of China (973 Program) (Grant No. 2014CB845303) and National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences.
Conflict of interest The authors declare that they have no conflict of interest.
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Su, Q., Huang, Y., Jiang, Y. et al. Quasi-consistent fusion navigation algorithm for DSS. Sci. China Inf. Sci. 61, 012201 (2018). https://doi.org/10.1007/s11432-016-9054-x
- quasi-consistent extended Kalman filter (QCEKF)
- extended Kalman filter (EKF)
- fusion algorithm
- distributed satellites system (DSS)