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A novel partial ambiguity method for multi-GNSS real-time kinematic positioning
The Journal of Navigation ( IF 2.4 ) Pub Date : 2021-07-15 , DOI: 10.1017/s037346332100059x
Haiyang Li 1 , Guigen Nie 2 , Jing Wang 1 , Shuguang Wu 1 , Yuefan He 1
Affiliation  

Recent progress in using real-time kinematic (RTK) positioning has motivated the exploration of its application due to its high accuracy and efficiency. However, poorly-observed satellite data will cause unfixed ambiguities and markedly biased solutions. A novel partial ambiguity resolution method, named the irrespective of integer ambiguity resolution (IIAR) model, is proposed and applied to improve the reliability of ambiguity resolution. The proposed method contains initial ambiguity resolution and irrespective of integer ambiguity processes. The initial ambiguity resolution process applies an iterative partial ambiguity resolution method to obtain an approximate solution. The irrespective of integer ambiguity process transforms the approximate solution to a high-precision solution. Experiments show that the approximate solution is unreliable when the initial ambiguity resolution process has small redundancy, and the proposed method can obtain better results for those cases. The IIAR method showed about a 40% improvement of multi-GNSS ambiguity success rate and about a 25% improvement of standard deviation. Therefore, these results show that the proposed IIAR method can improve the results of multi-GNSS RTK positioning significantly.



中文翻译:

一种新的多GNSS实时运动定位的部分模糊方法

由于实时运动学 (RTK) 定位的高精度和高效率,最近在使用实时运动学 (RTK) 定位方面取得的进展激发了对其应用的探索。然而,观测不足的卫星数据将导致不确定的歧义和明显有偏差的解决方案。提出了一种新的部分模糊度解决方法,称为不考虑整数模糊度解决(IIAR)模型,并应用于提高模糊度解决的可靠性。所提出的方法包含初始模糊度解决方案,并且不考虑整数模糊度过程。初始模糊度解决过程应用迭代的部分模糊度解决方法来获得近似解。不考虑整数模糊度过程将近似解转换为高精度解。实验表明,当初始模糊度解决过程具有较小的冗余时,近似解是不可靠的,该方法可以在这些情况下获得更好的结果。IIAR 方法显示多 GNSS 模糊成功率提高了约 40%,标准差提高了约 25%。因此,这些结果表明,所提出的 IIAR 方法可以显着提高多 GNSS RTK 定位的结果。

更新日期:2021-07-15
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