Software used in Gter's GNSS course: RTKLIB, PRIDE PPP-AR, and SALSA

Software used in Gter's GNSS course: RTKLIB, PRIDE PPP-AR, and SALSA

In the world of GNSS technology, satellite data processing is a key aspect for obtaining precise positions. During Gter's GNSS course, three key software tools are used: RTKLIB, PRIDE PPP-AR, and SALSA. Each of these tools addresses specific needs, offering solutions for applications ranging from navigation to geodetic GNSS network adjustment.

All of these software packages share a common characteristic: they are free and come with detailed documentation, making them a perfect solution for beginners in GNSS data processing.

RTKLIB: The most widespread open-source GNSS software

RTKLIB is a very popular open-source library in the field of GNSS positioning, both in real-time and post-processing. Thanks to its free availability and flexibility, it has become an essential tool for professionals and GNSS enthusiasts. The library supports various positioning techniques, including Real-Time Kinematic (RTK), which provides centimeter-level precision in real-time, and static mode, which allows for more detailed analysis of collected data.

RTKLIB is compatible with different satellite constellations such as GPS, GLONASS, Galileo, and BeiDou, and allows for data processing from various types of GNSS receivers. It is ideal for applications requiring high precision, such as infrastructure monitoring, topographic mapping, and precision agriculture. This software not only processes GNSS observations but also performs quality analysis of the observations and data conversion between different formats, which is very useful when working with GNSS data.

https://github.com/tomojitakasu/RTKLIB

PRIDE PPP-AR: Precise positioning without a reference station

PRIDE PPP-AR represents an innovative software solution for global GNSS positioning using the PPP (Precise Point Positioning) technique. Unlike differential positioning techniques, PRIDE PPP-AR uses satellite corrections to achieve sub-decimeter precision.

This software includes a simple graphical interface, allowing less experienced users to apply the PPP technique, which often requires more advanced knowledge. It also offers a command-line version for more experienced users who need greater customization of positioning parameters.

The software features include the ability to process data from all currently operational GNSS constellations, automatic downloading of auxiliary files during PPP processing, and continuous updates with new features and improvements.

https://github.com/PrideLab/PRIDE-PPPAR

SALSA: Software for least squares adjustment

SALSA (Surveyor’s Applications for Least Squares Adjustment) is software dedicated to the adjustment of geodetic and topographic networks using the least squares technique. It is designed to process spatial measurements such as distances, angles, and 3D vectors, combining them into a single reference system.

By integrating redundant measurements, SALSA improves the accuracy of estimates, checks the consistency of data, and detects any gross errors. One of the main advantages of this software is the ability to combine measurements from different instruments into a single project: total stations, levels, GNSS, etc. The software applies rigorous 3D solutions, overcoming the limitations of traditional 2D or 1D processing. It leverages the power of modern computers to handle networks with hundreds of points, ensuring optimal results even for complex applications.

SALSA represents an effective solution for professionals in geodesy and surveying who need a precise and reliable tool to analyze, integrate, and adjust their measurements.

https://www.arlut.utexas.edu/salsa/

A practical and innovative course

Gter’s GNSS course is not limited to theoretical introduction; it also offers participants the opportunity to directly use these software tools to process real data. Through practical exercises, participants acquire skills that can be immediately applied in professional and research fields.

For more information:

https://www.gter.it/en/training/

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