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GREAT-PVT

GitHub stars License: GPL-3.0

Precision positioning and navigation software from the Wuhan University GREAT Group.

GREAT-PVT is a C++ command-line module of the GREAT (GNSS+ Research, Application, and Teaching) platform. It provides PPP and RTK positioning solutions for scientific, engineering, and teaching use in geodesy and navigation.

Features

  • Multi-GNSS processing for GPS, GLONASS, Galileo, and BDS-2/3.
  • Ionosphere-free and uncombined PPP observation models.
  • Multi-frequency, multi-system PPP float and fixed solutions.
  • Dual-frequency and mixed-frequency RTK solutions.
  • Batch-processing and plotting utilities for multi-day result analysis.
  • Prebuilt command-line binaries for Windows and Linux.

Quick Start

Use the prebuilt executable if you only want to run GREAT-PVT.

Windows

GREAT_PVT.exe -x GREAT_PPP.xml

Linux

chmod +x GREAT_PVT
GREAT_PVT -x GREAT_PPP.xml

The XML files in doc/ are templates. Update their input and output paths to match the extracted files from sample_data/ or your own GNSS products before running.

Build From Source

Requirements:

  • CMake 3.5+
  • A C++ compiler with C++11 support
  • Windows, Linux, or macOS

Build on Linux/macOS:

cmake -S src -B src/build -DCMAKE_BUILD_TYPE=Release
cmake --build src/build --config Release

Build on Windows with Visual Studio and CMake GUI:

  1. Open CMake GUI.
  2. Set Where is the source code to the repository src directory.
  3. Set Where to build the binaries to src/build.
  4. Click Configure, then select your installed Visual Studio generator.
  5. Click Generate.
  6. Click Open Project, then build the Release configuration in Visual Studio.

Build outputs are written under CMake-generated platform directories such as src/build_Linux or src/build_Windows.

Command Line

GREAT_PVT -x <config.xml>

Useful options:

-h, --help    Show command-line help
-x file       Read XML configuration

Repository Layout

bin/                  Prebuilt Windows and Linux executables/libraries
doc/                  Manuals and sample XML configurations
sample_data/          PPP and RTK sample datasets
src/                  C++ source code
  app/GREAT_PVT/      Command-line application
  LibGREAT/           PPP, PPP-AR, and RTK processing library
  LibGnut/            G-Nut-based GNSS data and utility library
  third-party/        Vendored third-party headers/libraries
util/                 Batch processing, plotting, and EOP utilities

Sample Data

The repository includes compressed examples:

  • sample_data/PPPFLT_2023305.zip for PPP
  • sample_data/RTKFLT_2020351.zip for RTK

Extract a sample dataset, then adjust doc/GREAT_PPP.xml or doc/GREAT_RTK.xml so the paths under <inputs> point to the extracted files.

Documentation

Detailed installation, configuration, input products, and output formats are covered in:

  • doc/GREAT-PVT_1.0.pdf
  • doc/GREAT-PVT_manual_1.0.pdf

Changelog

Version 1.4 beta

  • The SOFA software is employed for the rotation from the inertial frame to the Earth-fixed frame, with current tests indicating comparable accuracy. By eliminating substantial redundant computations during the rotation process, the PPP positioning efficiency for a single station (intv=30s) has been improved by 10% or more, as confirmed by the test results.
  • A bug is fixed for great_log.cpp

Version 1.3

  • Fixed an error in the GLONASS satellite attitude calculation (function t_gattitude_model::_noon_turn_GLOM). Consequently, when GLONASS satellites are included in the positioning solution, the results from version 1.3 may be inconsistent with those from earlier versions.
  • More smart spdlog, spdlog version update to spdlog-1.17.0.

Version 1.2

  • Added English documentation and improved related content.
  • Updated sample data.
  • Fixed code formatting issues.

Version 1.1

  • Fixed a Visual Studio Debug-mode crash on Windows.
  • Fixed exceptions caused by missing PCO/PCV correction information in ATX. antenna files.
  • Corrected description errors in GREAT-PVT_1.0.pdf.
  • Fixed code formatting issues.

Acknowledgements

GREAT-PVT is developed by the GNSS+ Research, Application and Teaching (GREAT) Group, School of Geodesy and Geomatics, Wuhan University.

Third-party components include:

License

This project is licensed under the GNU General Public License v3.0.

Links



GREAT-PVT: 武汉大学GREAT团队精密定位导航软件

概述

  GREAT (GNSS+ REsearch, Application and Teaching) 软件由武汉大学测绘学院设计开发,是一个用于空间大地测量数据处理、精密定位和定轨以及多源融合导航的综合性软件平台。
  GREAT-PVT是GREAT软件中的一个重要模块,主要用于精密定位解算。软件中,核心计算模块使用C++语言(C++17)编写,辅助脚本模块使用Python3和C-Shell语言实现自动化数据处理。GREAT-PVT软件使用CMAKE工具进行编译管理,用户可以灵活选择GCC、Clang、MSVC等主流C++编译器。目前软件提供了Windows和Linux平台的命令行应用程序。
  GREAT-PVT由2个可移植程序库组成,分别是LibGREAT和LibGnut。LibGREAT库主要用于PPP、RTK滤波解算,包括滤波估计中涉及的数据解码、存储以及PPP、PPP-AR、RTK算法的实现,LibGnut库来源于开源GNSS软件G-nut,包括GNSS数据的解码和存储以及基本参数配置模块。
  GREAT-PVT软件主要特点包括:

  1. 支持GPS、GLONASS、Galileo、BDS-2/3系统

  2. 支持无电离层组合、非差非组合PPP观测值组合方式

  3. 支持多频率多系统PPP浮点解与固定解

  4. 支持双频、混合频率RTK解算

  此外,软件包还提供批处理脚本和定位结果绘图脚本,便于用户对多天数据进行解算与结果分析。

软件包目录结构

GREAT-PVT_<ver>	
  ./bin	                Windows和Linux可执行程序 *
  ./src	                源代码 *
    ./app                  GREAT-PVT主程序 *
    ./LibGREAT             PPP、PPP-AR、RTK解算库 *
    ./LibGnut              Gnut库 *
    ./third-party          第三方库 *
  ./sample_data          算例数据 *
    ./PPPFLT_2023305       PPP算例 *
    ./RTKFLT_2020351       RTK算例 *
  ./util                 脚本工具 *
    ./batch_process        PPP批处理脚本 *
    ./plot                 画图脚本 *
    ./poleut1              地球定向参数生成程序 *
  ./doc                  文档 *
    GREAT_PPP.xml          PPP配置文件模板 *
    GREAT_RTK.xml          RTK配置文件模板 *
    GREAT-PVT_<ver>.pdf      GREAT-PVT用户指南 *

安装和使用

参见GREAT-PVT_1.0.pdf

修改记录

版本1.1

  1. 修复了Windows平台中VS软件Debug模式下程序运行崩溃的问题。
  2. 修复了ATX天线文件中PCO、PCV改正数信息缺失导致的程序运行异常。
  3. 修改了GREAT-PVT_1.0.pdf中的描述错误。
  4. 其他代码格式问题的修改。

版本1.2

  1. 增加英文版说明文档并完善相关内容。
  2. 更新了算例。
  3. 其他代码格式问题的修改。

参与贡献

开发人员:

武汉大学GREAT团队, Wuhan University.

三方库:

下载地址

GitHub:https://github.com/GREAT-WHU/GREAT-PVT

欢迎加入QQ群(1009827379)参与讨论与交流。

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GREAT-PVT: Precision Positioning and Navigation Software by Wuhan University GREAT Group

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