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A novel partial ambiguity resolution based on ambiguity dilution of precision- and convex-hull-based satellite selection for instantaneous multiple global navigation satellite systems positioning

Published online by Cambridge University Press:  08 February 2022

Xin Liu
Affiliation:
School of Environment and Spatial Informatics, China University of Mining and Technology, Jiangsu, China.
Shubi Zhang
Affiliation:
School of Environment and Spatial Informatics, China University of Mining and Technology, Jiangsu, China.
Qiuzhao Zhang*
Affiliation:
School of Environment and Spatial Informatics, China University of Mining and Technology, Jiangsu, China.
Nanshan Zheng
Affiliation:
School of Environment and Spatial Informatics, China University of Mining and Technology, Jiangsu, China.
Wenyuan Zhang
Affiliation:
School of Environment and Spatial Informatics, China University of Mining and Technology, Jiangsu, China.
Nan Ding
Affiliation:
School of Geography, Geomatics and Planning, Jiangsu Normal University, Jiangsu, China
*
*Corresponding author. E-mail: [email protected]

Abstract

Although multiple global navigation satellite systems (multi-GNSS) with more visible satellites have a high success rate, they make positioning time-consuming. Partial ambiguity resolution (PAR) can improve the efficiency of multi-GNSS; however, at present PAR cannot simultaneously achieve fast and high-precision positioning with a high success rate. Therefore, PAR based on ambiguity dilution of precision- and convex-hull-based satellite selection is proposed. The experimental results of the proposed PAR, its corresponding satellite selection algorithm, the classical PAR, and the low-cutoff-elevation-angle-based multi-GNSS show that the proposed PAR outperforms the classical PAR, i.e., it achieves fast and high-precision positioning with a success rate of 100⋅0%. Furthermore, in terms of R-ratio-test-based ambiguity validation, it improves the reliability of carrier-phase-based integrity monitoring of multi-GNSS and the corresponding satellite selection algorithms. In addition, its positioning accuracy is close to that of multi-GNSS and higher than that of the classical PAR, with maximum differences of 0⋅3 and 2⋅4 cm, respectively. The proposed single (dual) frequency-based PAR improves single/dual-frequency multi-GNSS efficiency by more than 54⋅9%/80⋅4% (42⋅0%/75⋅8%) when 14⋅4 (13⋅2) out of 24⋅4 satellites are selected.

Type
Research Article
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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