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# GINav
NOTE: The program is still under development, and some bugs may exist in GINav. Comments and suggestions from users are welcome, please send them to the author ([email protected]). Additionally, we will further optimize GNSS/INS integration algorithms and develop a C language-based GINav. If you're interested in the GINav algorithm, you can join the GINav discussion group (`QQ:533185090`) <br>
NOTE: The program is still under development, and some bugs may exist in GINav. Comments and suggestions from users are welcome, please send them to the author ([email protected]). If you're interested in the GINav algorithm, you can join the GINav discussion group (`QQ:533185090`). In addition, the C language-based GINav will be released on Github in due course. <br>

## Introduction <br>
GINav is an open-source software, which focuses on the data processing and analysis of GNSS/INS integrated Navigation system, and can also process multi-constellation and multi-frequency GNSS data. GINav is suitable for in-vehicle situations and is aimed at providing 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 MATLAB environment. It provides a user-friendly graphical user interface (GUI) to facilitate users to learn how to use it quickly. A visualization tool, GINavPlot, is provided for solution presentation and error analysis. <br>
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* Support multi-constellation and multi-frequency GNSS data processing <br>
* Support GNSS/INS loosely coupled (LC) modes, include SPP/INS LC, PPD/INS LC, PPK/INS LC and PPP/INS LC <br>
* Support GNSS/INS tightly coupled (TC) modes, include SPP/INS TC, PPD/INS TC, PPK/INS TC and PPP/INS TC <br>
* Support forward/backward smooth (only for C version) <br>
* INS-aided cycle slip detection and robust estimation for GNSS/INS integration <br>
* Convenient visualization <br>
## Requirements <br>
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Author: Kai Chen <br>
E-mail: [email protected] <br>
Address: School of Environment and Geo-informatics, China University of Mining and Technology <br>
## References <br>
[1] Chen, K., Chang, G. & Chen, C. GINav: a MATLAB-based software for the data processing and analysis of a GNSS/INS integrated navigation system. GPS Solut 25, 108 (2021). https://doi.org/10.1007/s10291-021-01144-9 <br>
[2] Chen K, Chang G, Chen C,et al. An improved TDCP-GNSS/INS integration scheme considering small cycle slip for low-cost land vehicular applications. Measurement Science and Technology, 2021, 32(5):055006 (13pp) https://doi.org/10.1088/1361-6501/abd96c <br>
[3] Verhagen S, Li B, Teunissen PJG (2012) LAMBDA - Matlab implementation, version 3.0. Delft University of Technology and Curtin University <br>
[4] Groves P 2013 Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems, 2nd edn (Bostan and London: Artech House) <br>
[5] Chao C and Chang G 2021 PPPLib: An open-source software for precise point positioning using GPS, BeiDou, Galileo, GLONASS, and QZSS with multi-frequency observations GPS Solutions <br>

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