Advanced Orbit Prediction for Resident Space Objects through Physics-based Learning
Abstract
The goal of this research is to develop a novel methodology to predict trajectories of resident spaceobjects (RSOs) with orders of magnitudes of higher accuracy than that of the current methods.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 15, 2016
- Source ID
- FA95501610184
Entities
People
- Xiaoli Bai
Organizations
- Air Force Office of Scientific Research
- Rutgers University
- United States Air Force