Ukraine war spurs European demand for U.S. arms, but not big-ticket items

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  5 mars 2024 | International, Aérospatial

  Swiss weapons exports plunge as neutral stance hurts trade

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  27 juin 2019 | International, Naval

  QinetiQ signs new contract with the Royal Navy to optimise gunnery training

  QinetiQ has signed a new 5 year contract with the Royal Navy that will see the introduction of a dedicated training variant of QinetiQ's Pointer system to optimise the effectiveness of Anti-Surface Warfare training on a wide range of weapon systems. Developed in partnership with the MOD's Defence Science and Technology Laboratory (DSTL), the Pointer data analytics and measurement system provides an effective link between the Command and Control function and weapon operators to counter threats from Fast In-shore Attack Craft (FIAC). The adoption of Pointer T in Flag Officer Sea Training (FOST) exercises for the Royal Navy will improve situational awareness and performance evaluation on a range of platforms, while also providing immediate and objective training assurance for all non-firing FP serials. Featuring a weapon-mounted Laser Range Finder, Pointer T uses encoders to establish the precise position and attitude of weapon systems as well as the location of GPS-tracked threats and determines the nature and impact of ‘hits'. This data is recorded and displayed in real-time on a portable situational awareness tool, providing trainers with accurate and measurable performance data to maximise the effectiveness of training exercises. “The introduction of Pointer T will provide invaluable feedback and data analytics for FOST trainers while also helping to engage and motivate gunnery teams,” says QinetiQ's Stuart Hider, Maritime Programmes Director. “Countering the current and emerging threats of piracy, terrorist attack and threats from more capable nations, is vital for all platforms, and this advanced training solution will not only improve situational awareness but also help to determine the most effective tactics to employ for any given threat.” “We're delighted to be working with QinetiQ to ensure our FIAC training benefits from the most advanced data analytics and measurement technologies,” says Lt Cdr Richard Dobson, Royal Navy Surface Warfare trainer. “Pointer T will provide us with a highly responsive and cost-effective system to optimise our training capabilities and performance in FP training against small boats and SWARM (coordinated multi FIAC) serials.” https://www.qinetiq.com/News/2019/06/QinetiQ-signs-new-contract-with-the-Royal-Navy-to-optimise-gunnery-training

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  8 janvier 2019 | International, Terrestre, C4ISR

  The Army's M1 Abrams Tank Is About To Get Even Deadlier

  by Kris Osborn The Army is engineering new AI-enabled Hostile Fire Detection sensors for its fleet of armored combat vehicles to identify, track and target incoming enemy small arms fire. This system, integrated onto Apache Attack helicopters, uses infrared sensors to ID a “muzzle flash” or heat signature from an enemy weapon. The location of enemy fire could then be determined by a gateway processor on board the helicopter able to quickly geolocate the attack. The Army is engineering new AI-enabled Hostile Fire Detection sensors for its fleet of armored combat vehicles to identify, track and target incoming enemy small arms fire. Even if the enemy rounds being fired are from small arms fire and not necessarily an urgent or immediate threat to heavily armored combat vehicles such as an Abrams, Stryker or Bradley, there is naturally great value in quickly finding the location of incoming enemy small arms attacks, Army weapons developers explain. There are a range of sensors now being explored by Army developers; infrared sensors, for example, are designed to identify the “heat” signature emerging from enemy fire and, over the years, the Army has also used focal plane array detection technology as well as acoustic sensors. “We are collecting threat signature data and assessing sensors and algorithm performance,” Gene Klager, Deputy Director, Ground Combat Systems Division, Night Vision and Electronic Sensors Directorate, told Warrior Maven in an interview last year. Klager's unit, which works closely with Army acquisition to identify and at times fast-track technology to war, is part of the Army's Communications, Electronics, Research, Development and Engineering Center (CERDEC). Army senior leaders also told Warrior Maven the service will be further integrating HFD sensors this year, in preparation for more formals testing to follow in 2019. Enabling counterattack is a fundamental element of this, because being able to ID enemy fire would enable vehicle crews to attack targets from beneath the protection of an armored hatch. The Army currently deploys a targeting and attack system called Common Remotely Operated Weapons System, or CROWS; using a display screen, targeting sensors and controls operating externally mounted weapons, CROWS enables soldiers to attack from beneath the protection of armor. “If we get a hostile fire detection, the CROWS could be slued to that location to engage what we call slue to cue,” Klager said. Much of the emerging technology tied to these sensors can be understood in the context of artificial intelligence, or AI. Computer automation, using advanced algorithms and various forms of analytics, can quickly process incoming sensor data to ID a hostile fire signature. “AI also takes other information into account and helps reduce false alarms,” Klager explained. AI developers often explain that computer are able to much more efficiently organize information and perform key procedural functions such as performing checklists or identifying points of relevance; however, many of those same experts also add that human cognition, as something uniquely suited to solving dynamic problems and weighing multiple variables in real time, is nonetheless something still indispensable to most combat operations. Over the years, there have been a handful of small arms detection technologies tested and incorporated into helicopters; one of them, which first emerged as something the Army was evaluating in 2010 is called Ground Fire Acquisition System, or GFAS. This system, integrated onto Apache Attack helicopters, uses infrared sensors to ID a “muzzle flash” or heat signature from an enemy weapon. The location of enemy fire could then be determined by a gateway processor on board the helicopter able to quickly geolocate the attack. While Klager said there are, without question, similarities between air-combat HFD technologies and those emerging for ground combat vehicles, he did point to some distinct differences. “From ground to ground, you have a lot more moving objects,” he said. Potential integration between HFD and Active Protection Systems is also part of the calculus, Klager explained. APS technology, now being assessed on Army Abrams tanks, Bradleys and Strykers, uses sensors, fire control technology and interceptors to ID and knock out incoming RPGs and ATGMs, among other things. While APS, in concept and application, involves threats larger or more substantial than things like small arms fire, there is great combat utility in synching APS to HFD. Full article: https://nationalinterest.org/blog/buzz/armys-m1-abrams-tank-about-get-even-deadlier-40847