美陆军组织太空到AI新型全域杀伤链试验(英文)

2020-08-06 智邦网

编译 致远

据Breakingdefense网2020年8月5日报道,美陆军官员8月5日说,在德国成功进行的现场试验显示如何通过集成卫星监视、人工智能和远程火炮系统,在未来战争中造成毁灭性后果的全过程。

该试验所用数据将输入计算机模型,并用于今年后期在美国和太平洋区域组织的外场实验,即雄心勃勃的“项目融合”演练。

陆军未来司令部空间业务实际负责人威利·纳尔逊说:“为证明数据几乎实时反馈给作战人员,虽然‘游戏规则改变者’这个词用得太滥了,但坦率地说,这就是游戏规则改变者”。

试验使用了外场设备,m777牵引榴弹炮和m270多管火箭/导弹发射器,在德国靶场组织实弹射击。接下来将组织“远程加农炮”(ERCA) 和灰鹰无人机试验。

将更广泛的不同传感器与“射手”链接,通过AI加速陆海空天网数据流,是国防部联合全域作战概念的核心。

今年的试验将组织从最初的探测到最终摧毁的整个火力杀伤链系统。

纳尔逊是陆军未来司令部8个跨部门小组(CFT)主管之一,负责“确保精确、导航和定时”(APNT)项目,作为GPS出问题时的替代方案。

小组与陆军“网络CFT”、ISR特遣部队和AI特遣部队密切合作。

Army Tests New All Domain Kill Chain From Space To AI

Army photo

M270A1 Multiple Launch Rocket System (MLRS) firing at the Grafenwoehr training range in Germany.

 

UPDATED with Lt. Gen. Karbler remarks WASHINGTON: A successful field test in Germany shows how satellite surveillance, artificial intelligence, and long-range artillery could combine to devastating effect in future war, a senior Army official said this morning. The data from that test will feed into both computer models and future field experiments later this year in the US – part of the ambitious Project Convergence exercise – and in the Pacific.

“We have valuable data now on actually how the real operational system works,” said Willie Nelson, de facto head of space efforts at Army Futures Command. “To be able to provide that data back to the warfighter near real time …I know the word ‘game-changer’ is overused, but frankly, that is a game-changer.”

“This is not just science experiments,” he told a Defense Newswebcast following on yesterday’s virtual Space & Missile Defense conference. “We actually used the fielded equipment” – M777 towed howitzers and M270 MLRS rocket/missile launchers – “with live fires on the range in Germany.” The upcoming tests will add Extended Range Cannon Artillery (ERCA) and Grey Eagle drones.

“Eventually we want this stuff on every ground platform and even down to the soldier,” he said, “but those are a couple of years away.” (While Nelson didn’t mention it, the new IVAS targeting goggles about to enter service will eventually link their wearers to AI target recognition system).

Connecting an ever-wider network of different sensors to “shooters” — with AI accelerating the data flow over land, sea, air, space, and cyberspace — is central to the Pentagon’s evolving concept of Joint All-Domain Operations.

In this year’s tests, “we’re doing that entire fires kill chain” from initial detection to final destruction, Nelson said. “We’re able to receive that [satellite] data in theater, process that data, be able to develop targeting coordinates from that, put it directly into the [artillery] firing system, AFATDS, and be able to launch weapons on target,” he said. “And we’re doing that now very successfully in a very short time.”

Nelson isn’t given to overstatement. In fact, he’s among the most reserved of Futures Command’s eight Cross Functional Team directors, and, not coincidentally, the only civilian among them. Nominally, his CFT handles Assured Precision, Navigation, & Timing (APNT) – in layman’s terms, alternatives for GPS if it’s jammed – but its mandate has expanded to include the Army’s use of satellites. Nelson’s team has been working closely with the Army’s Network CFTISR Task Force, and AI Task Force on this technology.


相关信息

美国防部计划颁布数据管理计划和数据战略(英文)

DARPA加速推进AI网络战“自主软件助理”系统研发(英文)

美国防部首席信息官介绍AI、大数据和云计算计划(英文)

美陆军网络司令部发布信息战十年规划(英文)

美副防长谈高超声速/反高超声速武器三大任务、六大目标(英文)

第一台AN / SPY-6雷达阵列交付美海军新型导弹驱逐舰(英文)

DARPA重启“小精灵”无人机项目测试(英文)

美空军推动防御性或进攻性作战技术网络安全研发(英文)

美国防部联合人工智能中心重点聚焦信息战和网络攻防对抗(英文)

美防长称正在联合演习对我印太三极战略(印太小北约)

雷神公司通过兼并重组强化“联合全域指挥控制”(英文)