论文标题
具有数字双胞胎的A-EAGENT多功能雷达工程：朝向积极性
AI-Augmented Multi Function Radar Engineering with Digital Twin: Towards Proactivity
论文作者
论文摘要
Thales New Generation Digital Multi-Missions Radars，完全数字和软件定义（如海火和地面火雷达）受益于可访问的自由度大大增加，以最佳设计其操作模式。为了有效利用这些设计选择并将其转变为运营能力，有必要使用人工智能开发新的工程工具。离散和连续域中的创新优化算法，再加上雷达数字双胞胎，允许构建用于“搜索”模式设计的通用工具（光束综合，波形和音量网格），并符合可用的雷达时间预算。这些算法的高计算速度表明，在“主动雷达”配置中应用工具应用，该配置将动态地向操作员提出，操作模式更好地适应环境，威胁和设备故障条件。
Thales new generation digital multi-missions radars, fully-digital and software-defined, like the Sea Fire and Ground Fire radars, benefit from a considerable increase of accessible degrees of freedoms to optimally design their operational modes. To effectively leverage these design choices and turn them into operational capabilities, it is necessary to develop new engineering tools, using artificial intelligence. Innovative optimization algorithms in the discrete and continuous domains, coupled with a radar Digital Twins, allowed construction of a generic tool for "search" mode design (beam synthesis, waveform and volume grid) compliant with the available radar time budget. The high computation speeds of these algorithms suggest tool application in a "Proactive Radar" configuration, which would dynamically propose to the operator, operational modes better adapted to environment, threats and the equipment failure conditions.
