Optimal SSN Tasking to Enhance Real-time Space Situational Awareness

ABSTRACT:Over the last several years, ADS has been working closely with the AFRL to develop innovative algorithms specifically to address the information-based surveillance scheduling issues of SSA; with focus on the area of space object DTIC. ADS proposes to leverage two of these matured techniques 1) FISST and 2) ISRHC stochastic optimization to develop a scalable, centralized tasking and scheduling environment for the JSpOC Systems. This new tool will utilize parallelization and net-centric distributed computing to achieve 1000x speedups compared to traditional methods. The new tool will transact messages through ARCADE SOA compliant messaging to enable real-time coordination of surveillance assets, requirements, and operators. In Phase I, ADS will develop a proof-of-concept demonstration that dynamically tasks multiple heterogeneous surveillance systems through three vignettes including: multi-event Remote Proximity Operations at GEO, monitor adversary GEO Transfer, and a LEO Collision. ADS will team with TASC to leverage their validated SSN simulator Lookout to baseline with realistic, current day scheduling requirements; performance metrics; and models for all the JSpOC SSN assets. The resulting Phase 1 demonstration will prove the potential that information-based requirements scheduling is scalable and significantly enhances the JSpOC missions of SSA, DTIC, Combat ID, and Space Control.BENEFIT:Applications of the Finite Set Statistics (FISST) and Information Space Receding Horizon Control (ISRHC) stochastic optimization have the potential to enable evolutionary changes in the way that government intelligence collection agencies implement high value resource allocation. The paradigm shift from revisit rate centric scheduling to information gain could be applied directly and broadly to influence collection strategies in space, air breathing, maritime, and Human Intelligence (HUMINT)/social-networking domains. Furthermore, these concepts may be further generalized outside purely surveillance intelligence collection fields to address a wide variety of resource contention problems such as routing of airline traffic, genetic engineering, or financial asset management.