AGI Systems Tool Kit (STK) 12.8


AGI Systems Tool Kit (STK) 12.8
With the 2024R1 release, the DME (Digital Mission Engineering) products continue to bring new features to enable pervasive mission-level simulation through model-based digital engineering methods. This collection of new features includes enhanced subsystem and sensor payload modeling, updated tools and workflows targeting large constellations of platforms and asset grouping capable of analyzing data relay routes and optimizing end-to-end connectivity solutions, as well as strengthened integration and automation capabilities through Python scripting and API enhancements.

Systems engineers will enjoy high fidelity representations of their modeled systems and streamlined methods for both representing and analyzing performance against their mission-level requirements. With fidelity improvements to urban propagation methods for RF (Radio Frequency) systems, as well as options for ingesting Google’s global photorealistic 3D data for enhanced realism, users will notice incremental workflow and usability improvements that will help reduce model configuration steps. 

In addition, capabilities between Ansys Systems Tool Kit (STK) and Ansys Orbit Determination Tool Kit (ODTK) continue to align and provide satellite and spacecraft owners and operators with enhanced flight dynamics modeling capabilities. With quicker methods for quantifying common sensor coverage metrics, installed Python examples for automated rendezvous and proximity operations, as well as new ODTK capability to process tracking measurement data for surface vehicle motion on planetary bodies, these tools are providing capabilities targeted to today's space mission design and operation needs.

And finally, Ansys DME Component Libraries are continuing to provide multi-domain mission modeling and simulations capabilities ideal for developers, systems integrators, and custom application builders. This latest release unlocks new features focusing on expanded geospatial analysis, such as multi-threaded coverage grid generation making it faster to grid larger areas of interest or generate denser coverage maps to explore system performance across geographic regions as well as updates to the libraries available for embedded 3D visualization.