Automated Adversarial Course of Action Model Generation and Reasoning for Satellite Protection (commercial/military)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-10-C-0099
Agency Tracking Number: F093-046-0068
Amount: $99,877.00
Phase: Phase I
Program: SBIR
Awards Year: 2010
Solicitation Year: 2009
Solicitation Topic Code: AF093-046
Solicitation Number: 2009.3
Small Business Information
162 Genesee Street, Utica, NY, 13502
DUNS: 111305843
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 William Copeland
 Principal Investigator
 (315) 732-7385
Business Contact
 Milissa Benincasa
Title: Vice President
Phone: (315) 732-7385
Research Institution
Black River Systems Company proposes to develop and demonstrate an innovative simulation technology to dynamically reason and generate adversarial Space Course of Action (COA) models/playbooks and graphical node and link analysis of intended adversary counterspace actions. The proposed simulation technology, entitled “SimPath” was originally conceived by BAE Systems on the DARPA Deep Green project where it successfully generated “future situation graphs” at rates that were orders of magnitude greater than real-time. This proposed effort will apply SimPath to the counterspace domain where it will generate future adversarial (Red) Space COAs focused on the emerging challenge of defending DoD critical commercial (Gray) satellites from RF jamming and Laser dazzling. Feasibility will be demonstrated using a validated set of performance measures and analyst feedback for utility assessment. BENEFIT: Upon successful completion of this Phase I effort, “SimPath” will dynamically generate adversarial Space Course of Actions (COAs) that are not dependent on limited historical datasets but rather utilize qualitative envisionment of multiple COA trajectories, resulting in “future situation graphs” embodying a large number of branching factors and distinct outcomes. Selected COA trajectories will be readily extractable as a sequence of high-level events and indicators to stimulate high-level multi-INT fusion systems. Data contained within the “futures situation graphs” will enable integration of “SimPath” with legacy ground vehicle, satellite, and sensor simulation systems for analysis of of both commercial and DoD Space Situational Awareness (SSA) systems.

* Information listed above is at the time of submission. *

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