Holistic RSO Space Situational Awareness Algorithms

ABSTRACT: The U.S. Air Force is tasked with detecting, tracking, identifying, characterizing, and cataloguing RSOs. This is currently done using a disparate network of sensors that are shared with other missions. The increasing number of objects and scarcity of sensors makes the task of identifying and discriminating RSOs even more challenging. The ultimate goal of this project is to provide the Air Force with algorithms capable of processing and fusing space surveillance data with improved abilities to detect, track, identify, and characterize resident space objects (RSOs). Emergent Space Technologies, Inc. has teamed with the University of Colorado Boulder and The University of Texas at Austin to research and develop algorithms to address these needs and improve the AFs capability to detect, track, identify, characterize and catalog RSOs. Our long-term goal is to provide an integrated tool suite that can be used in the Joint Space Operations Center (JSpOC) Mission System (JMS). BENEFIT: The primary goal of our commercialization plan is to incorporate our SSA algorithms into products that the DoD can use in the Joint Space Operations Center (JSpOC) Mission System (JMS) to determine RSO capabilities and intentions by estimating their important characteristics, features, and behaviors.