2 May 2018 DDDAS for space applications
Author Affiliations +
Abstract
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.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erik Blasch, Erik Blasch, Khanh D. Pham, Khanh D. Pham, Dan Shen, Dan Shen, Genshe Chen, Genshe Chen, } "DDDAS for space applications", Proc. SPIE 10641, Sensors and Systems for Space Applications XI, 1064108 (2 May 2018); doi: 10.1117/12.2303936; https://doi.org/10.1117/12.2303936
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