Edmond Scientific to Perform Multi-Year R&D Effort to Develop Data-Centric Electronic Warfare (EW) Mission Simulation for AFAMS

Alexandria, Virginia (November 2022) –– The Air Force Agency for Modeling and Simulation (AFAMS) engaged Edmond Scientific on a multi-year R&D effort to design and test an integration architecture for 5th generation simulators and extend it with additional modeling capabilities, technologies and techniques.

The Data-Centric Synthetic Environment (DCSE) provides an alternative approach to distributed mission operations and training that seeks to address the shortfalls of current distributed training frameworks. Key shortfalls identified in the current architecture are that each simulator creates its own environment, and extensive (and thus slow and expensive) changes must be made to the entire universe of federated weapons systems trainers that then broadcast information to every other participant. This leads to congested network traffic and inconsistent and redundant implementations. For example, not all participants take a physics-based approach to the simulation of Infrared (IR) signatures, and those that do have different implementations to varying levels of fidelity.

The DCSE is designed to help address these shortfalls by identifying current areas of deficiency and providing a shared environment that can provide services such as weather, a shared simulation of the electromagnetic operating environment and a means to share real-time or after-action data analytics. Research and Development (R&D) is needed to identify and validate architecture pathways that enable the use of current and future technologies to assist with information management as well as an evolutionary transition from the current Joint, Live, Virtual and Constructive (JLVC) federation to a data-centric, web-based single digital environment that supports collaborative exercise planning, mission rehearsal, and execution.

Edmond Scientific will develop and mature IR and RCS modeling architecture, technologies, and techniques to establish a data centric architecture standard for communicating authoritative electromagnetic spectrum models/data that support the DCSE approach within the United States Air Force’s (USAF) distributed training infrastructure (Combat Air Forces Distributed Mission Operations, or CAF-DMO).  Specific areas include:

a) Improvements to IR modeling
b) Improvements to Radar Cross Section (RCS) modeling
c) Improvements to Low Probability of Intercept (LPI) signal simulation
d) Improvements to Electronic Warfare (EW) Effects on Blue Systems (voice, datalink, radar, sensors)
e) Improvements to the Signal Generation Engine (SGE)
f) Data Analytics and Visualization
g) Data and model architecture
h) Authoritative Data Integration