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SCIENCE CHINA Information Sciences, Volume 60, Issue 4: 042201(2017) https://doi.org/10.1007/s11432-015-0189-9

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

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  • ReceivedApr 19, 2016
  • AcceptedMay 7, 2016
  • PublishedMar 14, 2017

Abstract

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 performance 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.


Funded by

"source" : null , "contract" : "2014CB744206"}]

National Basic Research Program of China(973 Program)


Acknowledgment

Acknowledgments

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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