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Northrop Grumman's SABR Radar Goes Agile by Staff Writers Baltimore MD (SPX) Jul 15, 2021
Northrop Grumman has adopted Lean-Agile methodologies in the development and integration of the active electronically scanned array (AESA) AN/APG-83 Scalable Agile Beam Radar software for the F-16 Viper fighter aircraft. The transition to Lean-Agile was achieved in partnership with the U.S. Air Force development teams at Hill Air Force Base, Eglin Air Force Base and Air National Guard Air Force Reserve Command Test Center. "With this collaborative relationship, we are now able to deliver software updates to be tested on the F-16 in weeks instead of the months it would have taken using the traditional waterfall method," said Mark Rossi, director, SABR programs, Northrop Grumman. "Agile software development allows us to rapidly and affordably deliver capabilities to our customers - keeping F-16 operators ahead of their adversaries for decades to come." The AN/APG-83 features all-weather, high-resolution synthetic aperture radar mapping to present the pilot with a large surface image for more precise target identification and strike capabilities compared to legacy systems. Its design incorporates proven hardware and advanced operating modes from Northrop Grumman's fifth-generation F-35 AN/APG-81 and F-22 AN/APG-77 AESA radars. The high degree of commonality, shared manufacturing processes and infrastructure drives efficiencies and affordability improvements across all of Northrop Grumman's AESA radar programs. The AN/APG-83 is an official program of record for both the U.S. Air Force's active, Guard and Reserve components. The U.S. Air Force has achieved initial readiness requirements for SABR to meet a U.S. Northern Command Joint Emergent Operational Need (JEON) for homeland defense, and expects to formally declare full operational capability (FOC) after JEON fielding has completed in late 2021.
DARPA announces researchers to exploit infrared spectrum for understanding 3D scenes Washington DC (SPX) Jul 14, 2021 DARPA has selected four industry and university research teams for the Invisible Headlights program, which seeks to determine if it's possible for autonomous vehicles to navigate in complete darkness using only passive sensors. Current autonomous systems require active illumination to navigate in the dark (headlights, lidar, or some other emitting sensor), but these active signatures can be detected by adversaries at long ranges. The Invisible Headlights program aims to eliminate this vulner ... read more
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