The dynamic data-driven applications systems (DDDAS) paradigm is meant to inject measurements into the execution model for enhanced systems performance. One area off interest in DDDAS is for space situation awareness (SSA). For SSA, data is collected about the space environment to determine object motions, environments, and model updates. Dynamically coupling between the data and models enhances the capabilities of each system by complementing models with data for system control, execution, and sensor management. The paper overviews some of the recent developments in SSA made possible from DDDAS techniques which are for object detection, resident space object tracking, atmospheric models for enhanced sensing, cyber protection, and information management.
Erik Blasch, Khanh D. Pham, Dan Shen, and Genshe Chen, "DDDAS for space applications," Proc. SPIE 10641, Sensors and Systems for Space Applications XI, 1064108 (Presented at SPIE Defense + Security: April 16, 2018; Published: 2 May 2018); https://doi.org/10.1117/12.2303936.
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