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March 7, 2023 | International, Naval

Surface force lays out tech development timeline for industry

The surface fleet is clear on what capabilities it will develop in the next three five-year budgeting periods, even as future force plans are under review.

https://www.c4isrnet.com/naval/2023/03/07/surface-force-lays-out-tech-development-timeline-for-industry/

On the same subject

  • Combatting the Evolving SaaS Kill Chain: How to Stay Ahead of Threat Actors

    June 30, 2024 | International, Security

    Combatting the Evolving SaaS Kill Chain: How to Stay Ahead of Threat Actors

    Explore the evolving landscape of SaaS security risks, threat actor tactics, and essential strategies for protecting enterprise data.

  • Secrets of Tempest’s ground-breaking radar revealed

    January 18, 2021 | International, Aerospace, C4ISR

    Secrets of Tempest’s ground-breaking radar revealed

    Tom Kington ROME — Radar engineers on the Tempest fighter program have said they expect to break data-processing records. The secret, they explain, is all about miniaturization and going digital. The sixth-generation jet — planned by the U.K., Sweden and Italy and set to enter service after 2030 — will bristle with new technology, from its weaponry and propulsion to a virtual cockpit projected inside the pilot's helmet. But the group set the bar high in October by announcing the fighter's radar would process a quantity of data equivalent to nine hours of high-definition video — or the internet traffic of a medium-sized city — every second. Few details were given to back up the claim, but now U.K.-based engineers with Italian firm Leonardo, who are working on the radar, have shared clues with Defense News. Boosting performance will mean rethinking today's electronically scanned radars, which have grids of small Transmit Receive Modules, or TRM, on the antenna, each generating an individual radar beam which can follow different targets or combine with others to create a larger beam. The TRMs in the array are formed into groups, and the signals received by each group are fed to a receiver which digitalizes the data before passing it to the radar's processor. Due to their size, the receivers must be positioned back from the aircraft's nose and accept the incoming analogue radar signal down coaxial cables, which incurs some data loss before the signal is digitalized. To remedy that, Leonardo is working on miniaturizing the receivers so they can be moved up into the nose and integrated within the antenna, cutting out the need for a coaxial cable. The data emerging from the receiver must still travel to the processor, but by now it is digital and can flow down fiber-optic cables, reducing data loss. “Miniaturized receivers can digitalize the signal within the antenna much earlier in the receive chain,” said chief engineer Tim Bungey. That's one step up from the new state-of-the-art European Common Radar System Mark 2 radar that BAE Systems and Leonardo have signed to deliver for RAF Eurofighters, which will use coaxial cables. “Digitalizing the data closer to the array means more data can be received and transmitted, the data can be more flexibly manipulated, and there is more potential for using the radar as a multi-function sensor such as for data linking and for electronic warfare,” said Bungey. There is also a second advantage to miniaturized receivers: Many more can be installed, meaning each one handles fewer TRMs. “To improve performance and flexibility within the system, a key challenge is to divide the TRMs into more groups containing fewer TRMs, handled by more receivers,” said Bungey. “By achieving that, together with supporting wider bandwidths, you can generate significantly more data, giving greater flexibility for beam steering and multi-function operation,” he added. “We are aiming to increase the number of groups of TRMs, and therefore the number of receivers, beyond what will be offered by the MK2 radar for Eurofighter,” he added. While the radar may push the envelope, Duncan McCrory, Leonardo's Tempest chief engineer, said it would be a mistake to consider it as a stand-alone component. “The MRFS will be integrated within the wider Tempest Mission System, which incorporates a full suite of electronic-warfare and defensive-aids capabilities, EO/IR targeting and situational awareness systems, and a comprehensive communications system.” he said. “The data captured by these systems will be fused to create a rich situational awareness picture for the aircrew,” he added. “This information will also be fused with data received from other aircraft and unmanned systems, with machine learning used to combine and process the overall situational awareness picture for the aircrew. This avoids information overload in the cockpit, enabling the aircrew to quickly absorb data and make decisions based on suitably processed and validated information, and rapidly respond to threats in highly contested environments,” he said. McCrory added that Leonardo demonstrated aspects of human-machine teaming recently in a trial organized with the British Army and the MoD's Defence Science and Technology Laboratory, in which a Wildcat helicopter crew tasked a semi-autonomous UAV provided by Callen-Lenz to gather imagery and feed it back to the cockpit display via datalink. “It is these human-machine teaming principles that we will be building upon for Tempest,” he said. “The MRFS will be integrated within the wider Tempest Mission System, which incorporates a full suite of electronic-warfare and defensive-aids capabilities, EO/IR targeting and situational awareness systems, and a comprehensive communications system.” he said. “The data captured by these systems will be fused to create a rich situational awareness picture for the aircrew,” he added. “This information will also be fused with data received from other aircraft and unmanned systems, with machine learning used to combine and process the overall situational awareness picture for the aircrew. This avoids information overload in the cockpit, enabling the aircrew to quickly absorb data and make decisions based on suitably processed and validated information, and rapidly respond to threats in highly contested environments,” he said. McCrory added that Leonardo demonstrated aspects of human-machine teaming recently in a trial organized with the British Army and the MoD's Defence Science and Technology Laboratory, in which a Wildcat helicopter crew tasked a semi-autonomous UAV provided by Callen-Lenz to gather imagery and feed it back to the cockpit display via datalink. “It is these human-machine teaming principles that we will be building upon for Tempest,” he said. As Tempest development proceeds, McCrory said design of the integrated mission system was proceeding in parallel with the design of the aircraft itself. “We are effectively designing the aircraft from the inside out; by this I mean we are working closely with the MoD to understand future sensing, communications and effects capability requirements, and then working with the Team Tempest partners to ensure the aircraft can accommodate and support the required avionic systems.” Leonardo is working with BAE Systems to ensure the airframe will accommodate sensors, with Rolls Royce to ensure there is sufficient powering and cooling for the systems, and with MBDA, said McCrory, “to give weapons the best available data prior to launch, and to keep them informed after they are released and receive data back from them as they progress towards the target.” https://www.c4isrnet.com/home/2021/01/15/secrets-of-tempests-ground-breaking-radar-revealed/

  • Autonomous Firefighting Drone

    March 12, 2019 | International, Aerospace, Security

    Autonomous Firefighting Drone

    Working with mentors from Sikorsky, three University of Connecticut engineering seniors are translating their classroom education to the field. Electrical engineering majors Kerry Jones and Joshua Steil, and computer engineering major Ryan Heilemann, are collaborating to build and program an autonomous firefighting drone to battle blazes without a pilot's guidance. “In the world today there's a high prevalence of forest fires, like in California, but the problem is of how to safely put out these fires,” says Steil. “So our project, in essence, is to see if we can start putting out fires without a human driver.” Once finished, the drone will carry a thermal imaging camera to identify a fire, object avoidance technology to steer clear of any obstacles, and a softball-sized fire-extinguishing ball that will be dropped over the flames. The system's technology will be tied together through coding language developed by the students, and will operate based on inputted coordinates. While their drone will only be able to put out a campfire-size blaze, the project is meant to prove that this technology is possible, so that much bigger technology can be engineered in the future, says Heilemann. “The idea is that in the future, on a larger scale, there can be a fleet of unmanned helicopters that can go out and put out forest fires, thereby lowering loss of life,” says Steil. While drones are currently used by fire departments across the country, all of them so far have a pilot who navigates the drone from a distance, and most are used for observation, not fire suppression. “The autonomy definitely makes it different,” says Jones, “and the fire-extinguishing ball, for sure.” Teams in previous years have worked on similar projects with Sikorsky, which provided some guidance on what has worked and what has not. The team looked back on previous projects' reports, including last year's team, which was the first to integrate firefighting capabilities into the drone. While the previous team to work on this project used small thermal sensors called thermopile array sensors, Heilemann says these sensors required the previous drone to be only about six feet from the flames, which was too close for real-world applications. His team decided to use an infrared camera, which allows for more distance from the flames. This year's team had the added benefit of working on their project in UConn's brand new 118,000 square-foot Engineering and Science Building, which features three engineering floors filled with faculty and labs focused on robotics, machine autonomy, and virtual and augmented reality. At Sikorsky, the team is working with a recent UConn School of Engineering alum, Jason Thibodeau, deputy manager of Sikorsky's Flight Controls and Autonomous Systems Department. “He's really helpful. We have phone meetings every Monday, and we tell him what's going on, what we're struggling with, and he reasons with us,” says Jones. Adds Heilemann, “He really wants us to figure our way through issues we have, instead of just giving us a direct solution.” Working with Sikorsky also introduced the UConn seniors to new career options. Jones has accepted an offer with Sikorsky after she graduates, in their autonomy lab as part of their Rotary and Mission Systems department. Steil has accepted a job offer with Sikorsky's parent company, Lockheed Martin, in Massachusetts after graduation. “Working with Sikorsky definitely sparked a greater interest looking into the company as a whole,” he says. Heilemann also decided to go into the aerospace industry, and has found a job doing control and diagnostics at another aerospace company. Most importantly, the collaboration was a chance to get some experience with a top company. “In this project, I get to learn so much about Sikorsky and what they do,” says Steil, “and having a company like that so close to home and have them be our sponsor is definitely an added benefit.” https://dronescrunch.com/autonomous-firefighting-drone/

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