|Intelligent Automation, Inc.
15400 Calhoun Drive, Suite 400
Rockville, MD 20855
PI: Yi Shi
Contract #: FA9453-13-M-0062
|University of New Orleans
2000 Lakeshore Drive,
New Orleans, LA 70148
Topic#: AF12-BT09 Awarded: 3/26/2013
Intelligent Automation, Inc. (IAI) proposes to apply a game theoretic approach to design a robust decision making tool
for self defense space systems that integrates realistic system models, distributed sensor management, advanced
estimation, and tracking techniques. Our approach uses innovative game models to track space objects, analyze their
orbits, and provide decision tools for the space surveillance systems with self-defense capabilities. Space systems are
a vital component of modern military networks due to the rapidly increased requirements on space situation awareness.
A space system should be able to monitor satellites, UAVs, and other aerial objects, and detect adversary behavior.
However, current system designs with security considerations for such a system are still very limited. We will
incorporate pursuit-evasion game based threat modeling and analysis, active learning of deceptive behavior, nonlinear
filters, cooperative sensing for persistent space object tracking by using comprehensive and realistic models of space
platforms and service oriented architectures. We will also provide advanced self defense mechanisms based on the
levels of threat behavior. Our constructive and computationally efficient approach will support space situational
awareness in face of potential adversaries and allow autonomous defense systems to adapt to hostile and uncertain
environments with high reliability and robustness.
We have identified the Air Force Space Networks, Air Force Satellite Control Networks and Airborne Networks as the
initial application/primary market for this technology. The proposed game theoretic approach enables holistic
understanding of how to efficiently utilize the limited observers in a space network to track multiple attackers. Such
insights will benefit various applications including space situational awareness, resource allocation, and network
adaptation. The proposed solution has tremendous potential in military applications regarding space and airborne
networks, such as JSF, FCS, WGS, TSAT, NASA SCaN, SPAWAR, MILSATCOM, UFO, and SBIRS. As a whole, the
proposed effort has great potential to facilitate sensor management and object tracking in space networks. Such
insights are directly beneficial to various satellite systems with respect to resource allocation and ensuring tracking
requirements in terms of accuracy, delay, energy, and overhead. For the proposed game-theoretic design framework
with robust decision tools, there exist a variety of commercial applications including satellite communications, GPS,