RTKLIB is an open source program package for GNSS positioning.
Some features of RTKLIB:
It supports standard and precise positioning algorithms with: GPS, GLONASS, Galileo, QZSS, BeiDou and SBAS.
It supports various positioning modes with GNSS for both real-time and post-processing: Single, DGPS/DGNSS, Kinematic, Static, Moving-Baseline, Fixed, PPP-Kinematic, PPP-Staticand PPP-Fixed
It supports many standard formats and protocols for GNSS.
It supports several GNSS receivers' proprietary messages.
It supports external communication via: Serial, TCP/IP, NTRIP, local log file (record and playback) and FTP/HTTP (automatic download)
It provides many library functions and APIs for GNSS data processing
Please visit the RTKLIB website for more information.
GPSTk provides a C++ open source library and a suite of applications for GPS processing problems.
The design of the GPSTk suite is as platform-independent as possible. Platform independence is achieved through use of the ISO-standard C++ programming language. The principles of object-oriented programming are used throughout the GPSTk code base in order to ensure that the code is modular, extensible and maintainable.
The GPSTk suite consists of a core library, auxiliary libraries, and a set of applications. The GPSTk provides a wide array of functions that solve processing problems associated with GPS such as processing or using standard formats such as RINEX. The libraries are the basis for the more advanced applications distributed as part of the GPSTk suite.
The GPSTk is sponsored by Space and Geophysics Laboratory, within the Applied Research Laboratories at the University of Texas at Austin (ARL:UT). GPSTk is the by-product of GPS research conducted at ARL:UT since before the first satellite launched in 1978; it is the combined effort of many software engineers and scientists. In 2003, the research staff at ARL:UT decided to open source much of their basic GPS processing software as the GPSTk.
GPSTk Core Library
The GPSTk core library provides the most robust, broadly useful, and platform independent code in the GPSTk. It provides a number of models and algorithms found in GPS textbook and classic papers, such as solving for the user position or estimating atmospheric refraction. Common formats are supported as well, such as RINEX or SP3. There are several categories of function that provide the base functionality for the GPSTk applications and for a number of other independent projects:
GPS time. Conversion among time representations such as MJD, GPS week and seconds of week, and many others.
Ephemeris calculations. Position and clock interpolation for both broadcast and precise ephemerides.
Atmospheric delay models. Includes ionosphere and troposphere models.
Position solution. Includes an implementation of a Receiver Autonomous Integrity Monitoring algorithm.
Mathematics. Includes Matrix and Vector implementations, as well as interpolation and numerical integration.
GNSS data structure. Data structures that contain observations mapped to satellites.
Application framework. Includes processing command lines options, providing interactive help and working with file systems.
Please visit the GPSTk website for more information.
源代码下载（编译太费力，建议参考阅读）
GPSPACE software
Introduction
The GPSPACE software was developed in the Fortran programming language and used operationally at the Canadian Geodetic Survey (CGS) from the 90's until August 2018. From 2003 the software was operating behind the scene of the CSRS-PPP on-line service offered by CGS. In August 2018, the GPSPACE was replaced with a newer package offering better maintainability and performance and CGS decided to cease the support of GPSPACE. Over the years a number of organizations and individuals have obtained limited licensed use of the source code. CGS therefore opted to release the software under the MIT License to the larger community.
CGS released GPSPACE by posting the software and related configuration files along with test cases results as an archived repository on github.com. As an archived repository, it is not possible to update its content and pull requests will fail, but it is still possible to fork and modify its content as per the Licence terms, if anyone or any group is interested. CGS has no intention to support the application in the future, either through updates to the source code, or by adding documentation or test cases.
Precise Point Positioning
Precise Point Positioning is a processing methodology that combines Global Navigation Satellite Systems (GNSS) data collected on the ground, in air or in space, with precise GNSS satellite data products (positions and clock states) to generate positions of high precision. Factors such as the quality of GNSS data products, length of observation sessions, type of data collected, type of receiving hardware and conditions of collection will affect the quality of computed positions.
References :
[1] Zumberge J, Heflin MB, Jefferson DC, et al. (1997) Precise point positioning for the efficient and robust analysis of GPS data for large networks. J. Geophys. Res. 102 (B3), 5005-5017, doi:10.1029/96JB03860.
[2] Kouba J, and Héroux P (2001) Precise point positioning using IGS orbit and clock products. GPS Solutions 5 (2), 12-28, doi:10.1007/PL00012883.
GPSPACE capabilities
The GPSPACE software was developed in view of achieving the highest geodetic precision possible. The version released here can:
process GPS, Glonass, Galileo and/or Beidou data,
process in static or kinematic modes,
process dual frequency data,
process single frequency data (pseudoranges-only or pseudoranges+phases),
GPSPACE is a legacy software for which parts of the source code date back to the 70's. Over the years of its creation and improvement, very little attention was given to maintaining any kind of coding standard. Additionally no documentation is provided, other than the usage examples provided in the test cases. The software has however gone through very extensive testing during its active years supporting the CSRS-PPP service.
Copyright (c) 2018 Government of Canada. Under MIT Licence terms
Stanford GPS/GNSS Matlab Platform
Stanford GPS/GNSS Matlab is an integrated research platform for utilizing numerous positioning databases. It is intended to function as a platform providing universal access to various formats of GPS/GNSS data such as NSTB, NMEA, and RINEX.
Example databases include the NSTB stations that collect GPS information continuously in tens of sites and web-available and open to public.
Downloading an SGMP Overview Presentation and the SGMP ZIP Archive
The sgmp.zip archive contains everything you will need to learn about and use SGMP.
When you double-click on the file icon to uncompress the archive, you will find an SGMPrelease folder containing a few directories, including document. Within the document folder, there are a few helpful files, including quickstart and userguide.
Note: This sgmp.zip archive is preliminary; improved versions will be forthcoming.
Getting Started with SGMP
The best way to start is to use the quickstart guide or to follow the steps below:
Double-click on the sgmp.zip file icon to uncompress the archive. An SGMPRelease foler will appear on your computer's hard drive in the same location as the zip archive file.
gLAB performs precise modeling of GNSS observables (pseudorange and carrier phase) at the centimetre level, allowing both standalone GPS positioning and PPP. Every single error contributor may be assessed independently, which, in turn, provides a major educational benefit. gLAB is adapted to a variety of standard formats like RINEX-3.00, SP3, ANTEX and SINEX files, among others. Moreover, functionality is also included for GPS, Galileo and GLONASS, allowing performing some data analysis with real multi-constellation data.
The gLAB software tool is quite flexible, able to run under Linux, Windows and Mac operating systems and is provided free of charge by ESA Education Office to universities and GNSS professionals.
If you feel it is appropriate, you may consider paying us back by citing the gLAB paper:
Ibáñez D., Rovira-García A., Sanz J., Juan JM., Gonzalez-Casado G., Jimenez-Baños D., López-Echazarreta C., Lapin I. The GNSS Laboratory Tool Suite (gLAB) updates: SBAS, DGNSS and Global Monitoring System. 9th ESA Workshop on Satellite Navigation Technologies (NAVITEC 2018), Noordwijk, The Netherlands. December 5 - 7, 2018. DOI: 10.1109/NAVITEC.2018.8642707.
When papers containing results or illustrations obtained using gLAB are being published.
