Electronic warfare

The Army wants help turning down the electronic warfare noise

Success in electronic warfare requires making sense of a whole lot of noise, so the U.S. Army is launching an open competition to do just that.
The Signal Classification Challenge, a project from the Army’s Rapid Capabilities Office, invites the public to help create an artificially intelligent system that can paint a picture of the electromagnetic spectrum, allowing electronic warfare officers to cut through the excess noise and improve the reaction time and effectiveness of electronic warfare officers on the battlefield.
“This is a competition to find the ‘best of the best’ in artificial intelligence and machine learning that can do blind signal classification,” said Rob Monto, the director of the RCO’s Emerging Technologies Office. “We are hoping to attract everybody and anybody that has potential solutions in this space.”
The competition’s blind signal classification requires the classifier to posses little-to-no information about the signal being detected. The solution sought by the Army would quickly and accurately “classify the modulation, or change of a radio frequency (RF) waveform, as a first step towards signal classification.”