19 octobre 2023 | International, Terrestre, C4ISR

Northrop Grumman and LIG Nex1 to Collaborate on Electronic Warfare Systems for Korea

This agreement with LIG Nex1 builds on Northrop Grumman’s decades of delivering advanced defense solutions to the Republic of Korea

https://www.epicos.com/article/777592/northrop-grumman-and-lig-nex1-collaborate-electronic-warfare-systems-korea

Sur le même sujet

  • House Dems Developing New Homeland Security Bill to Include Coast Guard’s Icebreaker

    4 février 2019 | International, Naval

    House Dems Developing New Homeland Security Bill to Include Coast Guard’s Icebreaker

    House Democrats are putting the finishing touches on a new legislative proposal to fund the Department of Homeland Security that would include technological improvements at critical points of entry as well as the Coast Guard's new heavy icebreaker, House appropriators... https://www.defensedaily.com/house-dems-developing-new-homeland-security-bill-include-coast-guards-icebreaker

  • GA-ASI Demonstrates AI Driven Targeting Computer with AFRL’s Agile Condor Pod

    8 septembre 2020 | International, Aérospatial

    GA-ASI Demonstrates AI Driven Targeting Computer with AFRL’s Agile Condor Pod

    General Atomics Aeronautical Systems, Inc., with the support of SRC Inc., successfully integrated and flew the Air Force Research Laboratory's (AFRL) Agile Condor Pod on an MQ-9 Remotely Piloted Aircraft at GA-ASI's Flight Test and Training Center in Grand Forks, North Dakota The Agile Condor Pod provides on-board high-speed computer processing coupled with machine learning algorithms to detect, correlate, identify, and track targets of interest. With this capability, the MQ-9 is able to identify objects autonomously utilizing its on-board Electro-optical/Infrared (EO/IR) sensor and GA-ASI's Lynx Synthetic Aperture Radar (SAR). Defense contractor SRC, Inc. developed the Agile Condor system for the Air Force Research Laboratory (AFRL), delivering the first pod in 2016. It's not clear whether the Air Force conducted any flight testing of the system on other platforms before hiring General Atomics to integrate it onto the Reaper in 2019. The service had previously said that it expected to take the initial pod aloft in some fashion before the end of 2016. High-powered computing at the edge enables autonomous target detection, identification and nomination at extended ranges and on-board processing reduces communication bandwidth requirements to share target information with other platforms. This is an important step towards greater automation, autonomous target detection, and rapid decision-making. GA-ASI will continue to work with AFRL to refine the capability and foster its transition to operational constructs that will improve warfighters' ability to operate in contested or denied environments. “Sensors have rapidly increased in fidelity, and are now able to collect vast quantities of data, which must be analyzed promptly to provide mission critical information,” an SRC white paper on Agile Condor from 2018 explains. “Stored data [physically on a drone] ... creates an unacceptable latency between data collection and analysis, as operators must wait for the RPA [remotely piloted aircraft] to return to base to review time sensitive data.” “In-mission data transfers, by contrast, can provide data more quickly, but this method requires more power and available bandwidth to send data,” the white paper continues. “Bandwidth limits result in slower downloads of large data files, a clogged communications link and increased latency that could allow potential changes in intel between data collection and analysis. The quantities of data being collected are also so vast, that analysts are unable to fully review the data received to ensure actionable information is obtained.” This is all particularly true for drones equipped with wide-area persistent surveillance systems, such as the Air Force's Gorgon Stare system, which you can read about in more detail here, that grab immense amounts of imagery that can be overwhelming for sensor operators and intelligence analysts to scour through. Agile Condor is designed to parse through the sensor data a drone collects first, spotting and classifying objects of interest and then highlighting them for operators back at a control center or personnel receiving information at other remote locations for further analysis. Agile Condor would simply discard “empty” imagery and other data that shows nothing it deems useful, not even bothering to forward that on. “This selective ‘detect and notify' process frees up bandwidth and increases transfer speeds, while reducing latency between data collection and analysis,” SRC's 2018 white paper says. “Real time pre-processing of data with the Agile Condor system also ensures that all data collected is reviewed quickly, increasing the speed and effectiveness with which operators are notified of actionable information.” At least at present, the general idea is still to have a human operator in the ‘kill chain' making decisions about how to act on such information, including whether or not to initiate a lethal strike. The Air Force has been emphatic about ensuring that there will be an actual person in the loop at all times, no matter how autonomous a drone or other unmanned vehicle may be in the future. An Air Force Research Laboratory briefing slide showing a concept of operations for how a drone might use Agile Condor to sense and avoid threats autonomously Still, developments such as Agile Condor will significantly reduce the amount of necessary human interaction in various parts of the targeting process, as well as general intelligence collection and initial analysis, and potentially much more, as time goes on. It could also fuse various forms of sensor data and other available intelligence together to specifically weight possible areas of interest over others and prioritize certain targets. The Air Force has also said that this system could use these capabilities to enable drones to navigate and detect and avoid potential threats automatically, including at times when its links to a control center or the GPS satellite navigation system are disrupted or blocked entirely. Sources: Press Release; The Drive https://www.uasvision.com/2020/09/07/ga-asi-demonstrates-ai-driven-targeting-computer-with-afrls-agile-condor-pod/

  • Boeing Stirs Pentagon’s Ire With More Dings, Damage to Aircraft

    25 novembre 2020 | International, Aérospatial

    Boeing Stirs Pentagon’s Ire With More Dings, Damage to Aircraft

    By Anthony Capaccio Boeing Co. has been cited by the Pentagon's contracts management agency for an increase in incidents of damage to military aircraft or components at three of its facilities. The citation from Army Lieutenant General David Bassett, director of the Defense Contract Management Agency, cited “recent negative trends” in mishaps at Boeing's facilities in Seattle, San Antonio and Mesa, Arizona, “that far exceeds historical rates” and are “not consistent with expected performance.” The results could include damage from parts falling off a cart during transportation or too little overhead “clearance when maneuvering the aircraft or ground support equipment resulting in repairs needing to be made,” Matthew Montgomery, a spokesman for the contracts agency, said in an email. “Our analysis of mishaps indicates a disproportionate number of events occurring at Boeing facilities” since 2018 involving aircraft or parts damaged before delivery to the military, Bassett told Leanne Caret, chief executive officer of Boeing's defense unit, in a previously undisclosed June letter obtained by Bloomberg News. The mishaps add to other indications of challenged performance at units of Chicago-based Boeing, the No. 2 defense contractor after Lockheed Martin Corp. They include problems with parts quality for Apache AH-64 helicopters that led to a recent halt in delivery that's still in effect and a wide-ranging Army-led inspection of the Mesa facility. In addition, Boeing is still struggling to deliver a KC-46 refueling tanker that meets refueling system specifications nine years after the company won the contract. Earlier: Boeing's Arizona Chopper Plant Under Scrutiny by Army Mishaps at Boeing facilities increased from 18% of those tracked by the defense contracts agency for large aviation contractors in fiscal years 2017 and 2018 to 38% in 2019. As of June, they stood at 50%, far exceeding “levels observed in other large DoD aircraft contractors of similar scope over the same time period,” Bassett wrote. The issues included a lack of procedures, a failure to follow those in place and “inattention or supervisory factors” that “contributed to the majority of these mishaps,” Bassett wrote. Of particular concern was Boeing's Seattle facility, where 66% of the company's fiscal 2020 mishaps occurred, he wrote. Since the letter, “Boeing leadership and their employees have responded well” and “have initiated changes that should lead to better quality and mishap outcomes,” Bassett said in a statement. “We look forward to those changes demonstrating enduring improvements in quality and mishap reduction that will improve the products we receive.” Boeing spokesman Todd Blecher said the company didn't have a comment on the Bassett letter. Montgomery, the contracts agency spokesman, said that Boeing ranks in the top three of the 13 major aviation contractors tracked for reported mishaps over fiscal 2019 and 2020. “Each mishap is unique and some mishaps are still under investigation,” Montgomery said. “Some mishaps represent a failure to follow a procedure or take necessary preventative action.” During the time period reviewed, Boeing had five reportable mishaps in fiscal 2017 and four in fiscal 2018, he said. “They are currently sitting at 11 mishaps for fiscal 2020.” https://www.bloomberg.com/news/articles/2020-11-24/boeing-dinged-and-damaged-military-aircraft-pentagon-complains

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