BAE Systems to Innovate AI Solutions for Signal Detection in the RF Spectrum for IARPA
BAE Systems has secured a $14 million agreement with the Intelligence Advanced Research Projects Activity (IARPA) to create solutions for decoding an increasing volume of radio frequency (RF) signals to rapidly and precisely safeguard mission-critical data.
Under the contract’s provisions, BAE Systems will enhance machine learning and artificial intelligence methodologies to detect signals within the RF spectrum as part of the Securing Compartmented Information with Smart Radio Systems (SCISRS) initiative. This cutting-edge technology will bolster situational awareness, assist in identifying threats, and protect communications from malicious incursions.
“In uncontrolled settings, secure communications may be at risk due to RF signals that are nearly impossible to manually locate and identify in real-time,” remarked Scott Kuzdeba, chief scientist for BAE Systems’ FAST Labs™ research and development division. “Our innovation will detect RF signals in increasingly congested electromagnetic spectrum landscapes, equipping commercial and military users with enhanced automated situational awareness pertaining to their operational environments.”
Operations within the Intelligence Community and the Department of Defense necessitate that information and data be generated, stored, leveraged, transmitted, and received securely. This requirement holds even when originating from unsecured and uncontrolled settings. The SCISRS program aims to craft intelligent radio methodologies to systematically interpret these environments, facilitating the protection of our data, including the detection and characterization of intricate RF anomalies and unexpected signals. The specific anomaly types encompass concealed, modified, or replicated signals, along with abnormal unintended emissions.
This initiative, which involves partnerships with subcontractors PFP Cybersecurity, Intelligent Automation (a BlueHalo Company), Signal Processing Technologies, and Virginia Polytechnic Institute and State University, will utilize BAE Systems’ autonomy portfolio and build upon the company’s contributions to DARPA’s Radio Frequency Machine Learning System (RFMLS) project.
