Uncertainty Propagation for Maneuvering Objects in Chaotic Systems

  • UT Austin PI: Brandon A. Jones
  • CO-PIs: Ryan P. Russell
  • Collaborating Institutions: University of Southern California, Purdue University, Carnegie Mellon University, the University of New Mexico, the University of Texas at El Paso, Prairie View A&M University and the Southwest Research Institute
  • Funding Source: Air Force Office of Scientific Research
  • Award: $807,340
  • Award Date: 9/15/2024 - 9/14/2027

The goal of this project is to develop a computationally tractable and accurate method of uncertainty propagation for maneuvering objects that accounts for chaotic dynamics and addresses the needs for data association and orbit determination. This proposed effort addresses the Space Force’s need to track maneuvering and non-maneuvering space objects in a dynamically varied, high volume environment with multiple sensor blind spots.