Optimal SSN Tasking to Enhance Real-time Space Situational Awareness

John Ferreira, Applied Defense Solutions, Islam Hussein, Applied Defense Solutions, Joseph Gerber, Applied Defense Solutions, Robert Sivilli, AFRL

Keywords: Space Situational Awareness, Optimal Sensor Tasking

Abstract:

Space Situational Awareness (SSA) is currently constrained by an overwhelming number of resident space objects (RSOs) that need to be tracked and the amount of data these observations produce. The Joint Centralized Autonomous Tasking System (JCATS) is an autonomous, net-centric tool that approaches these SSA concerns from an agile, information-based stance. Finite set statistics and stochastic optimization are used to maintain an RSO catalog and develop sensor tasking schedules based on operator configured, state information-gain metrics to determine observation priorities. This improves the efficiency of sensors to target objects as awareness changes and new information is needed, not at predefined frequencies solely. A net-centric, service-oriented architecture (SOA) allows for JCATS integration into existing SSA systems. Testing has shown operationally-relevant performance improvements and scalability across multiple types of scenarios and against current sensor tasking tools.

Date of Conference: September 20-23, 2016

Track: Poster

View Paper