GINav: a MATLAB-based software for the data processing and analysis of a GNSS/INS integrated navigation system

被引:0
作者
Kai Chen
Guobin Chang
Chao Chen
机构
[1] China University of Mining and Technology,NASG Key Laboratory of Land Environment and Disaster Monitoring
[2] China University of Mining and Technology,School of Environmental Science and Spatial Informatics
来源
GPS Solutions | 2021年 / 25卷
关键词
GNSS/INS integration; GNSS; Open-source; Ginav; MATLAB;
D O I
暂无
中图分类号
学科分类号
摘要
With the development of GNSS, many open-source software packages have become available for GNSS data processing. However, there are only a handful of open-source software that can handle GNSS/INS integrated data, even though GNSS/INS integration schemes have been widely used in vehicle navigation systems due to their high accuracy, stability, and continuity in harsh environments. Considering the above, we developed an open-source software, GINav, which focuses on the data processing and analysis of a GNSS/INS integrated navigation system. GINav is suitable for in-vehicle situations and aims to provide a useful tool for carrying out GNSS/INS-related research. It is a convenient platform for testing new algorithms and experimental functionalities. GINav is developed in the MATLAB environment. It provides a user-friendly graphical user interface (GUI) to facilitate learning how to use it quickly. A visualization tool, GINavPlot, is provided for solution presentation and error analysis. We have conducted experimental tests to validate and assess the performance of GINav. The results indicate that GINav can provide navigation solutions comparable to general GNSS/INS accuracy standards, and it can handle both suburban and urban GNSS/INS integrated datasets.
引用
收藏
相关论文
共 50 条
[21]   Optimizing INS/GNSS/UWB Integrated Vehicle Collaboration Navigation Based on Perfomance Analysis Under Crowded environments [J].
Zhong, Lina ;
Wang, Rong ;
Wang, Yuxi ;
Ni, Yiyang ;
Liu, Xiao ;
Wang, Lina .
PROCEEDINGS OF 2020 3RD INTERNATIONAL CONFERENCE ON UNMANNED SYSTEMS (ICUS), 2020, :1042-1046
[22]   A MATLAB-based program for processing geochemical data using fractal/multifractal modeling [J].
Jian Wang ;
Renguang Zuo .
Earth Science Informatics, 2015, 8 :937-947
[23]   A MATLAB-based digital elevation model (DEM) data processing toolbox (MDEM) [J].
Pan, Feifei ;
Xi, Xiaohuan ;
Wang, Cheng .
ENVIRONMENTAL MODELLING & SOFTWARE, 2019, 122
[24]   GDA: A GNSS data processing software for quality analysis [J].
Gao, Hanke ;
Wang, Xinzhe ;
Yao, Yibin ;
Zhang, Liang ;
Zhao, Yinzhi ;
Li, Zufeng ;
Fang, Song .
ADVANCES IN SPACE RESEARCH, 2025, 75 (06) :4395-4407
[25]   A MATLAB-based program for processing geochemical data using fractal/multifractal modeling [J].
Wang, Jian ;
Zuo, Renguang .
EARTH SCIENCE INFORMATICS, 2015, 8 (04) :937-947
[26]   Development of a GNSS/INS-based automatic navigation land levelling system [J].
Jing, Yunpeng ;
Li, Qian ;
Ye, Wenshuai ;
Liu, Gang .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 213
[27]   GPRlab: A ground penetrating radar data processing and analysis software based on MATLAB [J].
Xiong, Hongqiang ;
Zhang, Zhiyu ;
Li, Jing .
SOFTWAREX, 2024, 26
[28]   On GNSS/MIMU Integrated Navigation System Based on Observability Theory [J].
Wang Dingjie ;
Zhang Liang ;
Wu Jie .
2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, :853-858
[29]   GNSS/INS integrated navigation algorithm framework based on cascade vector tracking algorithm for USV [J].
Liu, Wei ;
Wu, Linjin ;
Hu, Yuan ;
Huang, Hua ;
Wang, Shengzheng .
MARINE GEODESY, 2025, 48 (01) :72-96
[30]   Arc_Mat: a Matlab-based spatial data analysis toolbox [J].
Liu, Xingjian ;
LeSage, James .
JOURNAL OF GEOGRAPHICAL SYSTEMS, 2010, 12 (01) :69-87