Optimal Incorporation of Non-Traditional Sensors into the Space Domain Awareness Architecture
Document Type
Conference Proceeding
Publication Date
9-16-2020
Abstract
Space Domain Awareness (SDA) requirements are increasing while the United States Government (USG), the world’s largest provider of SDA and Space Traffic Management (STM) services, struggles to update legacy hardware and address new threats. Recent policy asserts the need to utilize non-traditional sources to improve these mission areas, but no study has approached the problem as the optimization of a new, augmented USG/non-traditional network(AN). This multi-disciplinary study explores the problem by employing system architecting, physics-based modeling, optimization, and data analysis to resolve a hypothetical System Program Office (SPO) contracting decision. The SPO is charged with designing the AN, which is composed of the three Ground-Based Electro-Optical Deep Space Surveillance (GEODSS) systems, one contributing civil telescope, one contributing large allied scientific telescope, and some number of fully-taskable commercial small telescopes. The SPO must decide which of the 56 worldwide commercial sensors to purchase from three companies given a total cost constraint of $25M. Literature review and market research determined representative non-traditional capabilities while system architecting identified coverage, average capacity, and average latency to be amongst the most important measures of AN performance. A large-scale trade study exploring the1016possible AN architectures was conducted by modeling architectures and 954Geosynchronous Earth Orbit (GEO) Resident Space Objects (RSOs) in Systems Tool Kit (STK) and custom Python scripts, then simulating architecture performance over a 24-hour collection period during Summer Solstice. The Non-Sorted Genetic Algorithm II (NSGA-II) heuristic method was used with Multi-Objective Optimization on five trials to advance 25,000 architectures and identify those with maximal coverage, maximal average capacity, and minimal average latency. 17 architectural choices were identified and, after analysis, five distinct AN design options were presented to the SPO’s decision-maker based on a balance of capability and managerial factors. The methodology lays a foundation for assessing future AN options given a set of desirable measures.
DOI
https://amostech.com/2020-technical-papers/
Source Publication
2020 Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS)
Recommended Citation
Vasso, A., Cobb, R. G., Colombi, J. M., Little, B. D., & Meyer, D. W. (2020, September). Optimal Incorporation of Non-Traditional Sensors into the Space Domain Awareness Architecture. 2020 Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS). 2020 Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), Maui, HI. https://doi.org/https://amostech.com/2020-technical-papers/
Comments
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