Can machine learning decipher an overcrowded radio spectrum?

The Department of Defense is pursuing a $4.7 million initiative to use machine learning to decipher radio signals.

The Defense Advanced Research Projects Agency awarded funding to BAE Systems, a British defense company, for its Controllable Hardware Integration for Machine-learning Enabled Real-time Adaptivity (CHIMERA) solution.

The CHIMERA solution uses machine learning to interpret radio frequency signals in crowded electromagnetic spectrum environments.

“CHIMERA brings the flexibility of a software solution to hardware,” said Dave Logan, vice president and general manager of Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance Systems at BAE Systems in a news release. “Machine-learning is on the verge of revolutionizing signals intelligence technology, just as it has in other industries.”

This contract is contingent on the completion of preset milestones and works alongside the Radio Frequency Machine Learning Systems (RFMLS) program, which was previously awarded to integrate data-driven machine learning algorithms.

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