Data-Driven Spacecraft Trajectory and Behavior Prediction in Cislunar Space
Abstract
With the increasing utilization of cislunar space, a variety of spacecraft will need to be characterized and their motions predicted to ensure the security of this nation’s space assets. However, when observing an unknown spacecraft in cislunar space, there may be limited or no information about it properties and maneuvering behavior (i.e., its intent and objectives) as well as brief, uncertain sequences of state estimates. With these limitations, predicting the trajectory, behavior and parameters of a spacecraft in the chaotic dynamics of cislunar space is challenging. In fact, traditional orbit determination strategies either fail or require generating a wide variety of possible predictions that a decision-maker must analyze. A new approach to rapid, early, and understandable spacecraft trajectory and behavioral prediction is critical to the emerging field of cislunar space domain awareness.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 29, 2024
- Source ID
- FA95502310235
Entities
People
- Natasha Bosanac
Organizations
- Air Force Office of Scientific Research
- Regents of the University of Colorado
- United States Air Force