Military Embedded Systems

AI- and ML-enabled spectrum management tech goal of DoD research


April 26, 2021

Emma Helfrich

Technology Editor

Military Embedded Systems

Stock image.

WASHINGTON. The U.S. Department of Defense (DoD) has issued a third Request for Prototype Proposal (RPPs) in support of electromagnetic spectrum research related to the capabilities of the over 400 members of the National Spectrum Consortium.

Issued under the DoD's Spectrum Access Research & Development (SAR&DP) Program, the RPP is part of a series of requirements to develop near real time spectrum management technologies that leverage machine learning (ML) and artificial intelligence (AI) to more efficiently allocate spectrum assignments based on operational planning and intended operational outcomes.

Officials claim that this specific RPP is centered on the Operational Spectrum Comprehension, Analytics, and Response (OSCAR) effort. This project will aim to create a software application with unified graphical user interface, automated workflows, sensor network, and extensible framework needed at testing and training ranges for aerial combat training to ensure that spectrum is available when and where needed for AWS-3 impacted systems and incumbent systems.

According to officials, the goal is to provide advanced spectrum management capabilities to the incumbent systems in the AWS-3 bands; however, this prototype will be applicable to all spectrum being managed on range. OSCAR will aim to provide the spectrum management tools, workflows, and sensor network necessary to increase spectrum utilization and improve range spectrum management. 


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