Partial ambiguity resolution considering the multipath effects in a canyon environment

Abstract

In the urban canyon environment, the integer ambiguity is hard to be fixed completely mainly because of the multipath effects, hence partial ambiguity resolution (PAR) is developed. This paper systematically introduces a new model-driven PAR method considering elevation and C/N₀. Firstly, the theory of partial ambiguity resolution, the elevation-C/N₀ function, and the proposed elevation-C/N₀ PAR method are deduced in detail. Secondly, the proposed elevation-C/N₀ method is applied in the static and dynamic experiments. The performances of the proposed method are compared with the full ambiguity resolution method, traditional elevation-dependent method, and C/N₀-dependent method. Comparisons indicate that the proposed elevation-C/N₀ method outperforms other methods. The results show that no matter in the urban static experiment or the dynamic experiment, the ambiguity resolution and positioning solutions can be improved.

Keywords:

• GNSS
• Partial ambiguity resolution
• Multipath
• Elevation
• C/N₀
• Canyon environment

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The experimental data of this study are available from the corresponding author for academic purposes on reasonable request.

Additional information

Funding

This study is supported by the National Natural Science Foundation of China [42004014], the Natural Science Foundation of Jiangsu Province [BK20200530], the Open project research fund of Technology Innovation Center for Geological Environment Monitoring [2022KFK1212002].

Notes on contributors

Yi Dong

Yi Dong holds a bachelor's in surveying engineering from Nanjing Tech University. He currently studies for a master's degree in Hohai University. His research interests focus on the GNSS relative precise positioning and multipath mitigation technology under challenging environments.

Zhetao Zhang

Zhetao Zhang obtained his Ph.D. with distinction from Tongji University. He is an associate professor at Hohai University, where his primary research focuses on precise positioning and navigation with GNSS and multi-sensor systems under complex conditions including challenging environments, low-cost devices, multi-source data, etc.

Lili Pang

Lili Pang obtained her M.S. degree from Hebei University. She is a senior engineer at the Center For Hydrogeology and Environmental Geology Survey, CGS, where her primary research focuses on groundwater environmental monitoring technology and instrument research and development.

Hanchuan Dong

Hanchuan Dong obtained his M.S. degree from the Chengdu University of Technology. He is a senior engineer at the Center For Hydrogeology and Environmental Geology Survey, CGS, where his primary research focuses on geological disaster monitoring and early warning technology.

Yanxin Shi

Yanxin Shi obtained her Ph.D. from China University of Geosciences (Beijing). She is a professor at the Center For Hydrogeology and Environmental Geology Survey, CGS, where her primary research focuses on the research and development of geological environment monitoring instruments.