Ramona Adams
Lockheed Martin and the Defense Advanced Research Projects Agency have collaborated to demonstrate a cognitive electronic warfare system that is designed to detect, characterize and counter wireless communication threats.
Lockheed said Monday that Raytheon‘s Silencer EW technology hosted machine-learning software for the Behavioral Learning for Adaptive Electronic Warfare system onboard a modified Piper Navajo aircraft during a series of flight tests.
The Lockheed-Raytheon team flew the aircraft to collect over-the-air radio frequency energy from military radios, cell phones and specialized data links.
The BLADE system worked to sense, characterize and jam adaptive wireless communication threats, according to Lockheed.
“This effort allows us to prove the viability of applying machine learning techniques to spectrum challenges,” said J. Scott Rodgers, spectrum systems lab director at Lockheed’s advanced technology laboratories organization.
A team of Lockheed scientists and engineers developed machine-learning algorithms and methods under the BLADE program in an effort to help warfighters to counter adaptive communications threats.
