The space domain today is becoming increasingly congested. The detection, classification, and tracking of Resident Space Objects (RSO) is critical for space situational awareness. How to best utilize available sensing resources becomes extremely important. The Phase I effort has resulted in a high Performance Computing enabled Distributed Game theoretic Sensor Management software Suite (HEADGT) for RSO detection, classification, and tracking. We obtained promising results which clearly demonstrate that IFT’s HEADGT software suite provides innovative and effective game theoretic approach for sensor resource management with consideration of various operational constraints. The developed HEADGT integrates space object classification and tracking, heterogeneous sensor measurements fusion, maneuver detection, collision alert, sensor modeling, game theoretic modeling and solution, hardware implementation, and visualization system. In the phase II project, we will refine, extend, and optimize our Phase I system concept and models to meet the realistic requirements of the Air Force for RSO detection, classification and tracking. In addition, IFT team will 1), extend and tie all the models developed in Phase I using high performance computing enabled implementations, 2), enhance the hardware prototype, 3), enrich interfaces with other SSA testbeds such as Space Fence System.