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Iterative spherical simplex unscented particle filter for CNS/Redshift integrated navigation system


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We propose an improved Unscented Particle Filter (UPF) algorithm for the Celestial Navigation System/Redshift (CNS/Redshift) integrated navigation system. The algorithm adopts the iterated spherical simplex unscented transformation rather than the traditional unscented transformation. The navigation per- formance of the proposed algorithm is assessed by several indexes. Simulation results show that the proposed UPF algorithm has advantages over the traditional UPF algorithm in terms of computation burden, navigation accuracy, and numerical stability.



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This work was supported by National Basic Research Program of China (973 Program) (Grant No. 2014CB744206). The authors would like to thank the anonymous reviewers for their constructive comments in improving the quality and presentation of this paper.

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Correspondence to Wei He.

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Fu, K., Zhao, G., Li, X. et al. Iterative spherical simplex unscented particle filter for CNS/Redshift integrated navigation system. Sci. China Inf. Sci. 60, 042201 (2017).

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  • CNS/Redshift
  • navigation system
  • UPF
  • spherical simplex
  • iteration


  • 天文/红移
  • 导航系统
  • 无迹粒子滤波
  • 球形单形
  • 迭代