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MAPS: Open-source GNSS multipath analysis and processing software

delete2026-01-29
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PRE
AI
Z
Zhetao Zhang
J
Jingjing Yang
H
Haijun Yuan *
DOI:10.1088/1361-6501/ae2945delete
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摘要

摘要

En 中文
Multipath is a critical error source in global navigation satellite system (GNSS) applications. To address this issue, we present an open-source software developed in MATLAB 2021a, i.e. multi-GNSS multipath analysis and processing software (MAPS), which systematically integrates multipath analysis and processing methods, and it is open source for the first time. For example, in multipath analysis, MAPS not only has the function of code multipath combination, but MAPS also contains other multipath analysis methods, which fills a key gap in multipath analysis of other software. The MAPS comprises two core components. One is a multipath analysis module, including a traditional method and some other easy-to-implement methods. The other is a multipath processing module, including the traditional sidereal filtering (SF), multipath hemispherical map (MHM), and some additional refined strategies. Both the multipath analysis and processing modules are highly appreciated for GNSS applications in complex environments. Specifically, three methods for estimating multipath and the process for establishing the carrier-to-noise density ratio (C/N0) template function are supported in the multipath analysis module. Five different types of MHM models and two different types of SF models are supported in the multipath processing module. In addition, the multipath analysis and modeling results are supported to be plotted by the MAPS. Dedicated experiments are carried out and prove the accuracy and reliability in multi-GNSS multipath analysis and processing by the MAPS. Using the MAPS, one can easily analyze the multipath and build corresponding models to process it. In conclusion, the MAPS is beneficial to navigation and positioning applications in the GNSS community.

期刊

Measurement Science and Technology 封面图
Measurement Science and Technology
IF:
3.4
论文数:
2.6K
被引数:
2.3W

机构

E
east china university of technology
学者数:
1.7K
论文数: 431
被引数: 0
H
hohai university
学者数:
6.2K
论文数: 2.5K
被引数: 0
引用论文

引用论文

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Ps-LAMBDA: Ambiguity success rate evaluation software for interferometric applications
err2013-04-01
err118
errOAAI
errVerhagen, Sandra; Li, Bofeng; Teunissen, Peter J. G.
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