Carmen Reglero Andres, Amazon Web Services; Eloy Salcedo de Zarraga, Amazon Web Services; Shayn Hawthorne, Amazon Web Services; Margaret Cote, Amazon Web Services; Nicholas Ansell, Amazon Web Services; Yudhajeet Dasgupta, Amazon Web Services
Keywords: Machine Learning, Data Fusion, Cloud, Cost – Savings, Increased Security, Virtualized Solutions, ground station
Abstract:
Decision time for on-orbit operations is shrinking, driving military and commercial space system operations to minimize latency by generating insights from geospatial data more rapidly, so space systems can react faster and execute defensive operations as soon as satellite threat indicators are detected. This responsiveness drives the need to increase efficiency, agility and responsiveness through virtualized solutions. Software-based ground segment architectures connected to the antenna systems where the data is ingested reduces provisioning times and costs and increase security, while maintaining high availability. Cloud services enable the virtualization of the ground segment at the edge and optimize space operations and tasks, such as tipping & cueing, with cloud data analytics and machine learning services for real-time monitoring and more timely detection of irregular activities. This paper explores how ground station virtualization and cloud services can improve space operations and reduce latency to analyze insights and autonomously transmit defensive satellite command to satellites during a single pass.
Date of Conference: September 27-20, 2022
Track: Machine Learning for SSA Applications