28 novembre 2018 | International, C4ISR

DARPA, BAE to develop AI for interpreting radio-frequency signals

By Stephen Carlson

Nov. 27 (UPI) -- BAE Systems has been selected by the U.S. Defense Advanced Research Projects Agency to develop machine learning algorithms to decipher radio frequency signals for protection against enemy hacking and jamming attempts.

DARPA is awarding BAE $9.2 million for machine learning algorithm development, the company announced on Tuesday, which will build off of adaptive technology that has already been applied to face- and voice-recognition systems and drones operating autonomously for RF signal processing.

"The inability to uniquely identify signals in an environment creates operational risk due to the lack of situational awareness, inability to target threats, and vulnerability of communications to malicious attack," Dr. John Hogan, product line director of BAE Systems Sensor Processing and Exploitation division, said in a press release.

"Our goal for the RFMLS program is to create algorithms that will enable a whole new level of understanding of the RF spectrum so users can identify and react to any signals that could be putting them in harm's way," Hogan said.

Under the Phase 1 contract, BAE will develop the RFMLS as part of its artificial intelligence efforts utilizing technology from DARPA's Communications Under Extreme RF Spectrum Conditions and Adaptive Radar Countermeasures programs.

BAE Systems is already working on DARPA's machine learning and artificial intelligence research in RF called the Spectrum Collaboration Challenge.

SCC is meant to help alleviate scarcities in available RF spectrum, which would dovetail with work being performed on RFMLS by identifying spectrum that could evade enemy jamming.


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Whether an app is a simple time/speed/distance calculator for a pilot or a hyper-specialized classified tool, sharing source code is a big risk for developers, because it means trusting third parties with the core intellectual property they have built their businesses on. But NGA soon realized that full access was the only way its project could work. So NGA's GEOINT App Store runs its security protections and screening processes in a way a commercial platform never could. Need To Know You can browse through the GEOINT App Store yourself today and see many of the mapping, aeronautical, weather-forecasting, location-sharing, and travel-alert services that it hosts for Android, iOS, desktop, and web. But that's just the public unclassified section—one crucial aspect of designing the platform was building segmentation controls so DOD employees with different levels of clearance, or simply different needs, could have gated access to different apps. 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