What is Oracle?
Oracle is a satellite developed by the Air Force Research Laboratory to conduct experiments on space object detection and tracking in cislunar (XGEO) space. With renewed worldwide interest in lunar exploration, increased traffic to the Moon will require monitoring to ensure safety of flight and collision avoidance. In this domain, traditional assumptions used to catalog and predict satellite motion break down due to the Moon’s gravitational pull. AFRL has developed numerous techniques to improve tracking capabilities in XGEO, and has identified Earth-Moon Lagrange Point 1 (EML1) as a potentially important observation location. Oracle will operate near EML1 and experiment with techniques to both discover and maintain custody of objects in this region, such as active satellites, rocket bodies, orbital debris, or natural objects. This mission will allow AFRL to assess strengths and weaknesses of sensors, processing algorithms, and navigation techniques needed for future operational systems.
Air Force Research Laboratory’s (AFRL) Space Vehicles Directorate, as part of a collaborative effort with AFRL’s Transformational Capabilities Office, awarded the Oracle contract to Advanced Space and is overseeing the program. AFRL will develop and deploy novel on-board image processing and new navigation techniques needed to accommodate the large distances between the Earth and Oracle’s planned operational area. The data collected will then be fed into orbit determination software on the ground that AFRL is developing.
Advanced Space is the prime contractor for Oracle, and is designing the mission approach, along with advanced navigation, tracking, and communication solutions for this challenging mission.
Key Partners
NSTXL & SpEC: This award has been made through the Space Enterprise Consortium (SpEC), managed by National Security Technology Accelerator (NSTXL), using their Other Transaction Agreement (OTA) authority. This procurement vehicle increases the government’s ability to capitalize on innovative and non-traditional solutions to challenging and time-sensitive problems.
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