9 octobre 2019 | International, C4ISR
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/
12 décembre 2024 | International, Aérospatial
Haifa, Israel, December 10, 2024 – Elbit Systems Ltd. announced today that it was awarded two contracts with an aggregate value of approximately $175 million for the supply of EW...
3 avril 2020 | International, Aérospatial
Desperate times call for bold measures, and the $2.2 trillion coronavirus economic rescue package passed by the U.S. Congress and signed into law by President Donald Trump certainly passes that test. Tucked into the gargantuan measure was $58 billion for airlines and cargo carriers, including $29 billion in grants to keep workers paid for the next six months, even if they are staffing empty flights. Boeing did not get the $60 billion directly that it had sought for aerospace manufacturers, but the aircraft giant and its suppliers still qualify for hefty rescue loans or guarantees. The secretary general of the United Nations has called COVID-19 the worst crisis the world has seen since World War II, and governments have a duty to ensure that this unprecedented pandemic does not wipe out vital industries. But the torrent of rescue money could have negative side effects, and it is imperative that governments step back when the crisis subsides. The market distortions of state aid already are apparent in the airline industry, where a lack of coordination among governments—even those within the EU—has tilted the playing field. And what if Boeing receives government backstops that Airbus has said it does not need? It is increasingly likely that when the pandemic subsides, the aviation industry will be facing a long uphill march to recovery, rather than the quick bounce-back that had been hoped for. As such, we urge the industry's stakeholders to start looking ahead and taking steps that will position them to recover as quickly as possible. Consider this Code of Conduct: Take care of your employees. You will need them to excel and work as a team when you recover. Do whatever possible to keep them healthy and well-informed. In the near term, furloughs, wage freezes and hiring freezes may be unavoidable to control costs. But prioritizing shareholders or senior executives over workers would create labor issues that could slow any recovery. Take care of your customers. You will only recover if they recover, so be flexible in responding to their issues during the crisis. Relationships cemented during hard times will pay off, while fractured relationships could cause long-term damage. Take care of your suppliers. Aviation manufacturers have spent decades pushing risk down to suppliers while trying to limit their rewards to reduce costs. If your suppliers do not survive or take too long to recover, all those risks will rebound onto you. Take care of your industrial base. The Pentagon wields an enormous amount of buying power at the taxpayers' expense. That should be deployed to keep its supply base healthy in the near term, even if it is at the expense of delaying long-term capabilities. Take care of your business. You need to come back more agile and flexible than ever to adjust to the immediate challenges of a recovery and to tackle future challenges unrelated to the coronavirus, such as climate change. And what about taking care of shareholders? Consider that in one recent year Boeing returned nearly six times as much money to shareholders through stock buybacks and dividends as it invested in R&D. Or consider that U.S. airlines sent 96% of their free cash flow to shareholders over the last five years. Now that hard times have hit, taxpayers are being asked to step in and foot the bill to save the industry. Shareholders need healthy airlines and healthy manufacturers. They can wait their turn. https://aviationweek.com/aerospace/editorial-code-conduct-aviations-recovery
31 juillet 2020 | International, Aérospatial
by Pat Host Armasuisse has contracted Lockheed Martin to procure a fleet of the company's Indago 3 small Group 1 unmanned aerial vehicles (UAVs) for the Swiss Army, according to a company statement. The deal also provides options for spares, training, technical support, and additional systems. Brandon Reimschiissel, Lockheed Martin Procerus Technologies senior systems engineer, declined to specify terms of the agreement to Janes on 20 July. The first phase of Lockheed Martin's contract comprises manufacturing development to optimise the Indago 3's configuration to meet the Swiss Army's requirements. These include integration of a transponder for sense-and-avoid and installation of a Silvus Technologies radio. The first phase also includes implementation of Lockheed Martin CDL Systems VCSi Touch small unmanned aerial system (sUAS) ground control system (GCS) software. This includes access to Swiss maps, including digital terrain elevation data (DTED) and geofencing. The first set of optimised Indago 3s will be delivered to the Swiss Army later this year with the remaining systems to be delivered several months following the first delivery. These Indago 3s will support tactical level reconnaissance and surveillance to support information collection, search and rescue, disaster relief, and battle damage assessment. Depending on the payload and operating environment, the Indago 3 has a flight time of up to 50 minutes with a range of 10 km. The aircraft can operate at cruise speeds of 25 kt. The Indago 3 can operate at temperatures ranging from -34 to 49°C.