Distributed Spacecraft Missions (DSMs) are gaining momentum in their application to Earth Observation (EO) missions owing to their unique ability to increase observation sampling in spatial, spectral, angular and temporal dimensions simultaneously. DSM design includes a much larger number of variables than its monolithic counterpart, therefore, Model-Based Systems Engineering (MBSE) has been often used for preliminary mission concept designs, to understand the trade-offs and interdependencies among the variables. MBSE models are complex because the various objectives a DSM is expected to achieve are almost always conflicting, non-linear and rarely analytical. NASA Goddard Space Flight Center (GSFC) is developing a pre-Phase A tool called Tradespace Analysis Tool for Constellations (TAT-C) to initiate constellation mission design. The tool will allow users to explore the tradespace between various performance, cost and risk metrics (as a function of their science mission) and select Pareto optimal architectures that meet their requirements. This paper will describe the different types of constellations that TAT-C’s Tradespace Search Iterator is capable of enumerating (homogeneous Walker, heterogeneous Walker, precessing type, ad-hoc) and their impact on key performance metrics such as revisit statistics, time to global access and coverage. We will also discuss the ability to simulate phased deployment of the given constellations, as a function of launch availabilities and/or vehicle capability, and show the impact on performance. All performance metrics are calculated by the Data Reduction and Metric Computation module within TAT-C, which issues specific requests and processes results from the Orbit and Coverage module. Our TSI is also capable of generating tradespaces for downlinking imaging data from the constellation, based on permutations of available ground station networks known (default) or customized (by the user). We will show the impact of changing ground station options for any given constellation, on data latency and required communication bandwidth, which in turn determines the responsiveness of the space system. Acronyms CR Cost and Risk Module DSM Distributed Space Mission ED Executive Driver EO Earth Observation FOV Field of View GMAT General Missions Analysis Tool GS Ground Station GUI Graphical User Interface ISS International Space Station JSON JavaScript Object Notation LV Launch Vehicle MA Mean Anomaly NEN NASA Earth Network OC Orbit and Coverage Module POI Point of Interest RAAN Right ascension of the ascending node RM (Data) Reduction and Metrics (Computation) Module SSO Sun Synchronous Orbit STK Systems Tool Kit TAT-C Tradespace Analysis Tool for Constellations TRL Technology Readiness Level TSI Tradespace Search Iterator TSR Tradespace Search Request
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