RAPTOR

RFI Detection and Prediction Tool

RAPTOR is an enhancement of Stottler Henke’s intelligent scheduling tool, Aurora, for improving Air Force satellite scheduling processes and providing greater sharing and availability of information and knowledge among SOCs, automating the entire AFSCN process. RAPTOR provides better-quality schedules, faster scheduling, and the ability to handle larger, more complex sets of requests. Using artificial intelligence methods and techniques, RAPTOR negotiates resolution of conflicts in an automated or semi-automated manner and performs far-future and contingency scheduling/planning as well as automatic abnormal real-time scheduling signal detection and prediction. Its intelligent, intuitive user interfaces enable graphical editing and management of decision processes associated with both satellite constellations and individual satellites by SOCs, Real-Time Schedulers (RTSs), the 22 SOPS, and the 22 SOPS crew commander. RAPTOR complements the successes already achieved using MIDAS to deconflict schedule requests across all SOCs for 22 SOPS.

RAPTOR performs AFSCN scheduling, deconfliction, and negotiation both during the deconfliction period and in real-time; improving and enhancing ABNet to increase its level of automation, greatly decreasing the amount of manpower required, incorporating additional inputs, and providing reasoning over its outputs for intuitive, concise displays to end-users; allows appropriate far-future and contingency planning; provides intelligent, user-friendly interfaces for a diversity of personnel; and integrate with existing required software and prepares to integrate with the Joint Space Operations Center (JSpOC) Mission System (JMS).

The most direct target for the results of this effort is the AFSCN. Additionally NASA has the space communications networks, which can utilize this software (Deep Space Network (DSN), Space Network (SN), and Ground Network (GN)).