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ZHOU Hong-jin, ZHONG Yun-hai, LI Wei. Comparison of relative navigation methods for large vessel formation[J]. Journal of Traffic and Transportation Engineering, 2016, 16(1): 149-158. doi: 10.19818/j.cnki.1671-1637.2016.01.018
Citation: ZHOU Hong-jin, ZHONG Yun-hai, LI Wei. Comparison of relative navigation methods for large vessel formation[J]. Journal of Traffic and Transportation Engineering, 2016, 16(1): 149-158. doi: 10.19818/j.cnki.1671-1637.2016.01.018
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Comparison of relative navigation methods for large vessel formation

doi: 10.19818/j.cnki.1671-1637.2016.01.018

  • Department of Navigation, Dalian Naval Academy, Dalian 116018, Liaoning, China

  • Received Date: 2015-10-10
  • Publish Date: 2016-02-25
    Abstract
  • A relative navigation model based on the pseudo-range double-difference of navigation satellite was built.Pseudo-range single difference based least square algorithm, pseudo-range double-difference based least square algorithm, pseudo-range single difference based EKF algorithm and pseudo-range double-difference based EKF algorithm were designed and were compared by tests.Analysis result shows that pseudo-range double-difference based relative navigation model can eliminate ionosphere, troposphere, multi-path, satellite clock error and receive clock error.EKF algorithm can significantly improve the resolution accuracy of relative navigation information compared with least square algorithm. Under EKF algorithm, the resolution accuracy of pseudo-range double-difference is 10% better than pseudo-range single difference.Under the minimum GDOP value principle, when the number of satellites increases, the distance resolution accuracy becomes better. When baseline length is 2 m, the distance resolution accuracy of pseudo-range double-difference based EKF algorithm can reach within 0.10 m, azimuth resolution accuracy can reach 4.0°, so the test accuracy and frequency in this paper can satisfy the relative navigation demand of keeping quasi dynamic for large vessel formation. 3 tabs, 27 figs, 20 refs.

     

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