Northrop Grumman gets $3.6B for work on Air Force communications node

Sur le même sujet

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  17 octobre 2019 | International, Terrestre

  U.S. Army Pursues Alternatives To GPS

  Jen DiMascio In its attempt to ensure that soldiers have access to GPS-like information, even when access to those U.S. Air Force satellites may be compromised, the U.S. Army is in the process of fielding an alternative system on certain ground vehicles. The Army began fielding the first iteration of the Mounted Assured Positioning, Navigation and Timing System (MAPS), an anti-jam GPS alternative, on General Dynamics Stryker vehicles in the 2nd Cavalry Regiment this year. The service will field 300 such systems to the 2nd Cav this year, according to Willie Nelson, director of the Army's Assured Positioning, Navigation and Timing Cross Functional Team. Thousands are supposed to be installed into vehicles in U.S. European Command by 2028. On Oct. 15, the U.S. Army announced it had chosen Collins Aerospace to provide a next-generation MAPS for manned ground vehicles. Collins will make MAPS Gen II, systems that will be evaluated for a year and potentially be fielded to 8,000 additional vehicles. The Collins Aerospace system combines the NavHub-100 navigation system and Digital GPS Anti-jam Receiver-100. The system adds a military code capability and modernized signal tracking to improve reliability and integrity, Collins says. The MAPS program is part of the U.S. Army's focus on modernization. But it is also a response to a request from commanders in Europe and Korea, according to Gen. John Murray, commander of Army Futures Command. The Army maintains that its effort to look for alternate means of positioning, navigation and timing is aligned with the U.S. Air Force's plans for GPS satellites. Asked about the threat from Russia, Brig Gen. Robert Collins, program executive officer for intelligence, electronic warfare and sensors, said the U.S. needs confidence not just in the ability of U.S. assets to withstand jamming attacks but to be able to fend off spoofing efforts as well. “The electromagnetic spectrum is becoming contested and people are operating in that space,” Collins said. “We recognize that our traditional GPS today is not where we need it to be from a survivability perspective. So we have looked at how to make it more hardened.” Along with those efforts, the Army has also planned an industry day for Oct. 29-31, as it seeks new inertial measurement unit and timing technologies. https://aviationweek.com/defense/us-army-pursues-alternatives-gps

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  9 octobre 2019 | International, C4ISR

  How airmen can work together for persistent ISR

  By: Brig. Gen. Gregory Gagnon and Lt. Col. Nishawn Smagh There is always a next war. Great power competition is here. Now is the time, while the United States maintains a position of strength, to ensure we are not outmatched, out-thought, or out-witted. Rapidly and realistically positioning the Intelligence, Surveillance, and Reconnaissance enterprise for first-mover advantage in today's data-driven environment is beginning with purposeful urgency. The past paradigm: crew-to-aircraft model During our careers, the Air Force ISR enterprise grew in both capability and capacity. In the late 1990s, the Air Force operated an ISR enterprise dominated by manned aircraft, each with their own specialized team operating unique systems that turned data into initial intelligence. Only a few organizations could turn raw airborne sensor data into intelligence in near-real time. We were only beginning to move data to the analyst, versus deploying the analyst to the data. As battlefield demand of ISR grew, we scaled up. We were fortunate to help build and execute airborne intelligence operations on a global scale, connected via a global network — we called them “reachback” operations. Reachback operations were the first step in transmitting ISR sensor collection across the globe in seconds. Even today, few nations can conduct this type of ISR operational design. The enterprise has continued to advance, achieving fully distributed operations around the world. We also made it possible to remove humans from aircraft, allowing missions to fly nearly three times longer and expand the data available to exploit. Correspondingly, the Air Force increased the number of organizations that could accept data and create intelligence. Following 9/11, our nation's needs changed; the fight necessitated the Air Force grow its capacity to deliver intelligence for expanded operations in the Middle East. We bought more unmanned vehicles, trained more ISR Airmen, and created more organizations to exploit data. Collection operations were happening 24/7 and most sorties required multiple crews to fly, control sensors and turn collection tasks into intelligence. As reachback operations grew, they became the Distributed Common Ground System and developed the ability to exploit aircraft sensor data. This growth was significant, but at the tactical level we employed the same crew model and simply grew at scale. This resulted in manpower growth, but also in disparate, distributed crews working similar tactical requirements with little unity of effort or larger purpose. This limited the ability of ISR airpower to have broader operational effects. While suitable for counter-terrorism, history tells us this approach is ill advised for great power conflict. Observe and orient: the data explosion and sense-making The traditional crew-to-aircraft model for exploitation must fast forward to today's information environment. The Pentagon has shifted its guidance to this new reality. The Defense Department recently declared information a seventh core function, and the Air Force's formal ISR flight plan maps a course for digital-age capabilities to turn information into intelligence. This “sense-making” must be able to handle both the complexity of a diverse information environment and scale to contend with an exploding volume of data. Access to expanded data sets, from diverse collection sources and phenomenology, is near and urgently needed. The Department's focus on artificial intelligence and machine learning in this realm remains stable and necessary. The next step is to retool how we task, organize, and equip both intelligence collection and analytic crews. As the Pentagon focuses on open architectures, artificial intelligence and machine learning, and data standards, the field is rapidly moving out. Air Combat Command , the Air Force lead command for ISR, is attacking the crew-to-aircraft model to test a sensor-agnostic approach using multiple data sources to address intelligence requirements. Cross-functional teams of Airmen are now assigned broader operational problems to solve, rather than a specific sensor to exploit. This will change joint and service collection management processes. ACC is tackling this future. We are supporting Air Force commanders in Europe and the Pacific with a pilot project that allows Airmen to explore these sensor-agnostic approaches. An additional element to our future success is partnering with our joint and allied partners, as well as national agencies, to bring resources, tools, and insights to bear. As we field the open architecture Distributed Common Ground System, we are shifting the focus from airmen operating specific sensors to airmen leveraging aggregate data for broader analysis. Headquarters Air Force and ACC are installing technologies to ensure readiness for the future ISR enterprise. Cloud technology paired with artificial intelligence and machine learning promises to speed human-machine teaming in generating intelligence across warfighting domains at the speed and scale necessary to inform and guide commanders. Underpinning this effort is a new data strategy and agile capability development for rapid prototyping and fielding. The Defense Department and the Air Force must continue to prioritize this retooling. Our adversaries see the opportunities; this is a race to the future. Situational awareness in the next war will require the development and fielding of AI/ML to replace the limited and manpower-intensive processes across the Air Force ISR enterprise. Employing AI/ML against repetitive data exploitation tasks will allow the service to refocus many of its ISR Airmen on AI/ML-assisted data analysis and problem solving. ISR and multi domain command and control ... enabling decide and act A headquarters-led initiative, with eyes toward a joint capability, is the creation of a collaborative sensing grid that operates seamlessly across the threat spectrum. Designs call for a data-centric network of multi domain platforms, sensors, and airmen that work together to provide persistent ISR. Equipped with manned and unmanned platform sensors capable of computing via AI/ML, these capabilities will link commanders to real-time information, plus tip and cue data from sensors-to-sensors, joint commanders, and weapons. This collaborative sensing grid is a foundational element for multi domain command and control . The vision of MDC2 is to outpace, outthink and outmaneuver adversaries. Creatively and rapidly applying new technology to operational problems is a long-held characteristic of airmen. Our DCGS airmen are no different. Non-material solutions deserve as much attention as hardware. This pilot project is our vanguard initiative to prepare for rapidly changing future systems environments. https://www.c4isrnet.com/opinion/2019/10/08/how-airmen-can-work-together-for-persistent-isr/

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  6 septembre 2018 | International, Aérospatial, Naval, Terrestre, C4ISR

  Artificial intelligence expert gets top job at French defense innovation agency

  By: Pierre Tran PARIS — French Armed Forces Minister Florence Parly has appointed Emmanuel Chiva, a specialist in artificial intelligence and training simulation, as director of the newly formed agency for defense innovation, the ministry said. Chiva took up the post Sept. 1, when the innovation office was officially set up, the ministry said in a Sept. 4 statement. Parly made the appointment in consultation with Joël Barre, head of the Direction Générale de l'Armement procurement office. The innovation agency will report to the DGA. The agency will be the key player in a new strategy for innovation, seeking “to bring together all the actors in the ministry and all the programs which contribute to innovation in defense,” Parly said in an Aug. 28 speech to a conference held by Medef, an employers' association. The innovation office will be open to Europe, while allowing experiments to stay close to their operational users, she said. Parly has set a budget of €1 billion (U.S. $1.2 billion) for the agency, which will seek to coordinate attempts to apply new technology to military applications. Chiva has more than 20 years of experience in AI and training simulation. He previously held a senior post for strategy and development at Agueris, a specialist in training simulation for land weapon systems. Agueris is a unit of CMI Defence, a Belgian company specializing in guns and turrets for armored vehicles. Agueris was on the CMI stand at the Eurosatory trade show for land weapons in June. Agueris held three conferences on AI, with Chiva speaking at a roundtable debate on innovation. Chiva is a graduate of Ecole Normal Supérieure and a specialist in biomathematics, the study of the application of math to biology. “His appointment perfectly illustrates my vision of defense innovation: open to research and the civil economy, in which entrepreneurship is not a concept but a reality,” Parly said. https://www.defensenews.com/industry/techwatch/2018/09/05/artificial-intelligence-expert-gets-top-job-at-french-defense-innovation-agency