Air Force Seeks Industry Input for Sensor-Agnostic DCGS Training Emulator
The U.S. Air Force has issued a Request for Information for a sensor-agnostic emulator trainer to support the modernization of its Distributed Common Ground System. This initiative aims to streamline intelligence operator training across diverse airborne and orbital collection platforms.
The U.S. Air Force has officially released a Request for Information (RFI) seeking market capabilities to develop a Sensor Agnostic Emulator Trainer (SAET). Designed to support the ongoing modernization of the Air Force Distributed Common Ground System (AF DCGS), this enterprise training solution aims to replicate complex intelligence, surveillance, and reconnaissance (ISR) data environments without relying on specific hardware or proprietary platform interfaces. By decoupling training architectures from individual sensor feeds, the service intends to build a flexible, scalable simulation capability that prepares operators for multi-domain operations.
AF DCGS serves as the Air Force's primary ISR intelligence enterprise, processing, exploiting, and disseminating real-time data collected from U.S. airborne, orbital, and tactical assets. As the DoD shifts toward Combined Joint All-Domain Command and Control (CJADC2), operator training must rapidly evolve to handle heterogeneous data streams from traditional platforms like the U-2 and RQ-4 alongside emerging uncrewed aerial systems (UAS) and space-based architectures. A sensor-agnostic emulator allows training pipelines to introduce new sensor modalities and synthetically generated target environments seamlessly, eliminating the high cost and latency associated with reconfiguring legacy simulator systems for every platform upgrade.
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