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DARPA taps RTX to advance kilometer-range X-ray vision

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RTX (NYSE: RTX) announced that BBN Technologies won a DARPA contract under the X-ray Extreme-range Non-imaging Analysis (XENA) program on Feb. 25, 2026 to develop kilometer-range X-ray imaging algorithms.

The effort will build software and run simulations to reconstruct hidden geometry of man-made objects from distances approaching a kilometer, with testing in Cambridge, Massachusetts and Atlanta, Georgia. The BBN-led team includes Georgia Institute of Technology.

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RTX BBN Technologies to develop long-range X-ray imaging algorithms to enable the identification of hard-to-access objects

CAMBRIDGE, Mass., Feb. 25, 2026 /PRNewswire/ -- RTX's (NYSE: RTX) BBN Technologies has been awarded a contract by the Defense Advanced Research Projects Agency (DARPA) under its X-ray Extreme-range Non-imaging Analysis (XENA) program, aiming to enhance service members' situational awareness in the field. The effort will produce a new class of X‑ray tools that reconstruct the hidden geometry of man-made objects from distances approaching a kilometer, giving commanders decisive insights when closer access is unsafe, impractical or denied.

Under the XENA program, BBN will create a system that uses advanced mathematical modeling and image analysis to enhance the visibility of objects, even with incomplete or messy data, without needing large amounts of training examples. The team will run simulations, build the software, and test it to show how well the system can uncover important details about objects.

"Long-range X-ray imaging requires a fundamentally different approach," said Joshua Fasching, BBN principal investigator on the effort. "We are developing algorithms that turn a small number of grainy snapshots into enough detail for decision-makers to act, whether the mission is assessing potential threats or supporting emergency response operations."

Portable X-ray scanners require close range for clear images, as long-range use is hindered by weak signals, motion blur, and limited viewpoints, rendering traditional methods ineffective. BBN's approach will combine a handful of low-quality views, using shared patterns to reveal interior detail with far fewer photons. As a result, service members will have access to actionable information about concealed threats, potential weapons or structural vulnerabilities from ranges previously beyond reach.

The BBN-led team includes the Georgia Institute of Technology. Work on the program will be completed in Cambridge, Massachusetts; and Atlanta, Georgia.

This research was, in part, funded by the U.S. Government. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing official policies, either expressed or implied, of the U.S. Government.

About RTX BBN Technologies  
Founded in 1948, RTX BBN Technologies provides advanced technology research and development with a focus on national security priorities. From the ARPANET to the first email, through the first metro network protected by quantum cryptography, BBN consistently transitions advanced research to produce innovative solutions for its customers. BBN takes risks and challenges conventions to create solutions in analytics and machine intelligence, networks and sensors, intelligent software and systems, and physical sciences. 

About RTX
With more than 180,000 global employees, we push the limits of technology and science to redefine how we connect and protect our world. With industry-leading capabilities, we advance aviation, engineer integrated defense systems for operational success, and develop next-generation technology solutions and manufacturing to help global customers address their most critical challenges. The company, with 2025 sales of more than $88 billion, is headquartered in Arlington, Virginia.

For questions or to schedule an interview, please contact corporatepr@rtx.com

Cision View original content:https://www.prnewswire.com/news-releases/darpa-taps-rtx-to-advance-kilometer-range-x-ray-vision-302691631.html

SOURCE RTX

FAQ

What did RTX announce on Feb. 25, 2026 about the DARPA XENA contract (RTX)?

RTX announced that BBN Technologies was awarded a DARPA XENA contract to develop kilometer-range X-ray imaging algorithms. According to RTX, the work will build software, run simulations, and test systems in Cambridge, MA and Atlanta, GA to reconstruct hidden object geometry from long range.

How far will the new X-ray imaging system developed by RTX BBN reach under the XENA program?

The system aims to reconstruct objects from distances approaching a kilometer. According to RTX, algorithms will combine low-quality views and shared patterns to reveal interior detail with far fewer photons than traditional portable X-ray scanners.

Who is on the BBN-led team for the DARPA XENA project with RTX (symbol RTX)?

The BBN-led team includes BBN Technologies and the Georgia Institute of Technology. According to RTX, work will be completed in Cambridge, Massachusetts and Atlanta, Georgia, and will focus on algorithm development, simulation, software build, and testing.

What problem is RTX's BBN trying to solve with long-range X-ray algorithms under XENA?

They are addressing weak signals, motion blur, and limited viewpoints that hinder long-range X-ray imaging. According to RTX, the approach uses mathematical modeling and image analysis to turn a few grainy snapshots into actionable detail for decision-makers.

How will RTX's XENA work potentially help service members and responders?

The technology aims to provide actionable information about concealed threats, weapons, or structural vulnerabilities from safer distances. According to RTX, this supports assessments when closer access is unsafe, impractical, or denied, improving situational awareness.

Where and when will RTX BBN test the long-range X-ray imaging system under the DARPA XENA award?

Testing and development will occur in Cambridge, Massachusetts and Atlanta, Georgia following the Feb. 25, 2026 award. According to RTX, the program will run simulations, build software, and execute tests to demonstrate reconstruction capabilities.
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