Industrie de l'armement : la taxonomie, un enjeu pour l’investissement

Sur le même sujet

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  13 février 2019 | International, Autre défense

  DARPA: Architecting a New Breed of High Performance Computing for Virtual Training Environments

  The testing, evaluation and training of future military systems will increasingly take place in virtual environments due to rising costs and system complexity as well as the limited availability of military ranges. Virtual simulators are already used to augment real-world training for modern fighter aircraft pilots, and they hold significant promise for addressing the rigorous demands of testing and training AI-enabled technologies. Current simulated environments, however, rely on conventional computing that is incapable of generating the computational throughput and speed to accurately replicate real-world interactions, model the scale of physical test ranges or meet the technical requirements of more complex systems. “Virtual environments could significantly aid the military by creating the ability to test and train advanced radio frequency (RF) technologies 24/7/365 with high-fidelity models of complex sensor systems, like radar and communications,” said Paul Tilghman, program manager in DARPA's Microsystems Technology Office (MTO). “However, existing computing technologies are unable to accurately model the scale, waveform interactions or bandwidth demands required to replicate real-world RF environments.” To address current computing limitations impeding the development of virtual test environments, DARPA created the Digital RF Battlespace Emulator (DBRE) program. DRBE seeks to create a new breed of High Performance Computing (HPC) – dubbed “Real Time HPC” or RT-HPC – that will effectively balance computational throughput with extreme low latency capable of generating the high-fidelity emulation of RF environments. DRBE will demonstrate the use of RT-HPC by creating the world's first largescale virtual RF test range. The range will aim to deliver the scale, fidelity and complexity needed to match how complex sensor systems are employed today, providing a valuable development and testing environment for the Department of Defense (DoD). “While DRBE's primary research goal is to develop real time HPC that can be used to replicate the interactions of numerous RF systems in a closed environment, this is not the only application for this new class of computing. RT-HPC could have implications for a number of military and commercial capabilities beyond virtual environments – from time-sensitive, big-data exploitation to scientific research and discovery,” said Tilghman. To support the creation of RT-HPC and the DRBE RF test range, the program will focus on two primary research areas. One area will explore designing and developing novel computing architectures and domain-specific hardware accelerators that can meet the real-time computational requirements of RT-HPC. Existing HPCs rely on general-purpose computing devices, which either prioritize high computational throughput while sacrificing latency (i.e., Graphics Processing Units (GPUs)), or have very low latency with correspondingly low computational throughput (i.e., Field Programmable Gate Arrays (FPGAs)). DRBE seeks to overcome the limitations of both by creating a new breed of HPC hardware that combines the GPU's and FPGA's best traits. The second research area will focus on the development of tools, specifications and interfaces, and other system requirements to support the integration of the RT-HPC system and the creation of the virtual RF test range. These components will help design and control the various test scenarios that could be run within the range, enable the DRBE's RT-HPC to interface with external systems for testing, facilitate the resource allocation needed to support multiple experiments, and beyond. DRBE is part of the second phase of DARPA's Electronics Resurgence Initiative (ERI) – a five-year, upwards of $1.5 billion investment in the future of domestic, U.S. government and defense electronics systems. As a part of ERI Phase II, DARPA is creating new connections between ERI programs and demonstrating the resulting technologies in defense applications. DRBE is helping to fulfill this mission by bringing the benefits of domain specific processing architectures to defense systems. DARPA will hold a Proposers Day on February 13, 2019 from 9:00am to 5:00pm (EST) at 4075 Wilson Boulevard, Suite 300 Arlington, Virginia 22203, to provide more information about DRBE and answer questions from potential proposers. For details on the event, including registration requirements, please visit: http://www.cvent.com/events/darpa-mto-drbe-proposers-day/event-summary-69f231cef8814aa799cd60588b5dc9cf.aspx A forthcoming Broad Agency Announcement will fully describe the program structure and objectives. https://www.darpa.mil/news-events/2019-02-11

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  26 décembre 2024 | International, Terrestre, C4ISR

  British Army successfully tests radio wave-based drone defence system

  The British Army has conducted “successful” trials of an RFDEW, which can neutralise drone swarms using radio waves.

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  4 décembre 2020 | International, Terrestre

  Army taps industry for Gray Eagle payloads for joint ops against high-end threats

  By: Jen Judson WASHINGTON — The Army wants its Joint All Domain Operations (JADO) Gray Eagles to have synthetic aperture radars, moving target indicators, electronic intelligence and communications intelligence capability as well as air-launched effects and radar warning receivers, according to a new market survey. Now, the Army wants help from industry with those payloads for its Gray Eagle unmanned aircraft systems. Specifically, the service is looking for systems that are capable of helping with joint operations across all warfighting domains against high-end threats from adversaries such as China and Russia, according to a solicitation published Dec. 2 to a government contracting website. The service's Aerial Enhanced Radar, Optics and Sensors (AEROS) product manager wants industry to “identify potential existing sources capable of providing Aerial Intelligence, Surveillance and Reconnaissance (AISR) payloads for the MQ-1C Gray Eagle Unmanned Aircraft System platform that meet the JADO environment,” the solicitation posted to Beta.Sam.Gov states. These Gray Eagles payloads must be capable of increased ranges and resolutions “to support target location and Long-Range Precision Fires (LRPF) without the use of traditional line of site visual equipment to include Electro Optical, Infrared (EO/IR) and Full Motion Video (FMV) required for today's Counter Insurgency (COIN) mission,” the request for information stresses. Traditional COIN payloads won't hold up against peer and near-peer adversaries, the Army noted, as they will “employ anti-access, area denial strategies, posing a significant challenge to the current AISR fleet,” the solicitation states. Gray Eagles must survive against an “Integrated Air Defense System (IADS)-rich environment,” the request notes. This means the Gray Eagle would fly “racetrack patterns tangential to the IADS threat at 80 km distance” and would be capable of deploying Air-Launched Effects (ALE) forward into enemy territory to detect, identify and locate targets and take out or disrupt threats, according to the request. The Gray Eagle would also have payloads that could detect IADS threats, locate them and transfer the information to other sensor systems capable of recognizing targets and coordinating long-range fires, the solicitation describes. The Army is conducting the survey ahead of a Gray Eagle sensor payload JADO demonstration that could potentially take place in fiscal 2022 where systems will be “quantitatively compared” to find the highest performing and best value payloads based on technology readiness and production cost, the request lays out. The solicitation for more advanced payloads for Gray Eagle comes at a time when the Army is trying to design a complex architecture of helicopters and unmanned aircraft systems that would be part of tight-knit kill chain to include space and ground assets underpinned by an advanced network. The Army experimented with the kill chain to include air assets at Project Convergence at Yuma Proving Ground, Arizona, over the summer. The effort brings together future weapons and capabilities envisioned for a 2030s battlefield against near-peer adversaries such as Russia and China. It includes using a machine learning and artificial intelligence-enabled battle management system that is in development. Gray Eagle represented a Future Attack Reconnaissance Aircraft (FARA) surrogate. During the first mission thread at Project Convergence, which focused on the penetration phase laid out in the Army's Multidomain Operations warfighting concept, Gray Eagles and ALE partnered with space-based assets, APNT, and LRPF capabilities to locate, then degrade and destroy enemy assets modeled after the Russian Pantsir air defense systems and other weapons. The ALE pushed ingested data forward through the network to get it to the right shooters, whether that would be an Extended Range Cannon Artillery (ERCA) system on the ground or a Gray Eagle or another ALE. The Army was able to extend the ALE capability out to almost 62 kilometers, which would provide deep standoff for manned aircraft like FARA. The ALEs performed both the reconnaissance, surveillance and targeting acquisition mission and worked as a mesh network to extend the battlefield. Two ALEs were truck launched and four were air launched. Also during the final shot of the entire campaign at Project Convergence, a soldier on the ground took control of a LRPF munition surrogate (a Hellfire missile in this case) on a Gray Eagle and fired on the target. The Gray Eagle at Convergence was able to route around and avoid threat weapon systems and also fired a live Dynetics-made GBU-69 small glide munition. Previewing the future, the Army also used an open system architecture that was flexible enough for payloads and capabilities to be swapped in out of its Gray Eagles without having to rely on the original equipment manufacturer to do it. https://www.defensenews.com/land/2020/12/02/army-taps-industry-for-gray-eagle-payloads-for-joint-ops-against-high-end-threats/