The GMAT development team is pleased to announce the release of GMAT version R2017a.  For a complete list of new features, compatibility changes, and bug fixes, see the Release Notes.   Below are just some of the new capabilities contained in this release. 

  • Three new data types can now be processed in GMAT; GPS point solution (GPS_PosVec), range data (Range), and range rate (RangeRate) data.
  • A minimally tested and documented alpha version of an extended Kalman filter algorithm is now available for experimental use. This plugin is available but turned off by default. To use, enable the "libEKF" plugin in the startup file.
  • A second-level data editing capability has been added. This feature allows you to choose observations that are computed and reported but not used in the estimation state update.
  • GMAT now supports a propagator that uses AGI's .e ephemeris file format.
  • You can now manage empirical data updates using a Python file manager. The utility allows you to easily update leap second, EOP, space weather, and other files and optionally archive old versions.
  • GMAT now has a stand alone C++ library for solving optimal control problems via collocation (CSALT). The library is well tested and available for applications, and is currently undergoing integration into GMAT.
  • A preliminary API is under development. The API is not available in the production release and is distributed separately on SourceForge in packages with the name "Alpha" in the title.

To download, visit our SourceForge download page.

This is a one-time announcement. For further information, please visit our wiki:

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