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Id: 250
Type: Presentation
Published: 06/29/2011
Event: Improving our Vision V 2011
Authors:
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Abstract:
This work introduces a framework for evaluating the actionability of space situational awareness (SSA) data products, emphasizing the degree to which available data supports timely and defensible operational decisions for collision avoidance and radio frequency interference mitigation. The study reviews limitations in satellite positional knowledge arising from cross-tagging, unmodeled maneuvers, atmospheric drag uncertainty, and sensor tasking biases, and examines how these factors degrade orbit prediction accuracy over time. A range of collision risk metrics and probability formulations are assessed to illustrate how data source accuracy, covariance realism, and encounter geometry influence maneuver decision thresholds. Representative actionability thresholds are defined to map collision probability levels to operational responses, from monitoring to executive-level maneuver decisions. Peer-based error characterizations are developed for multiple data source pairings across LEO and GEO regimes, enabling comparative evaluation of owner/operator and non-cooperative tracking data. Results demonstrate that no single data source is sufficient for actionable SSA and that multi-source data fusion is essential to achieving reliable, decision-quality safety-of-flight products.
Keywords:
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Citation:
Oltrogge, D.L., “Space Data Actionability Metrics for SSA,” 2011 Improving Our Vision SSA Conference, Luxemburg, 29 June 2011, accessible at https://comspoc.com/Resources/Content/Private/C-20220423T155546/Presentation/20110628_SSA_Workshop_Space_Data_Actionability_Oltrogge_v03.show.pdf.
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Comparing the effectiveness of positional accuracy improvements
