Optimal Sensor Tasking for Space Situational Awareness
Abstract
The main objective of this work is to research and develop analytical and computational tools enabling accurate tracking of Resident Space Objects (RSOs) by optimal planning and scheduling of disparate sources of information, integrating sensing with stochastic models, uncertainty characterization and forecasting, and integration of sensor data with model predictions with a goal of maximizing the degree of situational awareness.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 23, 2016
- Source ID
- FA95501510313
Entities
People
- Puneet Singla
Organizations
- Air Force Office of Scientific Research
- Research Foundation for the State University of New York
- United States Air Force