具身智能雷达:概念内涵、系统架构与关键技术

    Embodied Intelligence Radar: Conceptual Connotation, System Architecture and Key Technologies

    • 摘要: 面对复杂变化的环境背景、博弈对抗的目标对象,现有的雷达探测手段通常是提升硬件以获取“更多数据”而构建“感知信息”硬件系统,或者提升软件以转化“信息数据”为“知识表达”而构建“思考模型”软件系统,但这些智能程度仍处于“感知+人工智能(AI)”的阶段。文中将以“机器人”领域快速兴起的“具身智能”引入雷达探测感知领域,通过概念内涵解析、系统架构设计、关键技术分析以及应用场景展望,指导“具身智能雷达”研制,推动雷达探测进入“AI+感知”阶段。

       

      Abstract: Faced with complex and dynamic environments as well as adversarial targets, existing radar detection methods generally fall into two categories: upgrading hardware to build a "perceptual information" hardware system by acquiring "more data", or improving software to transform "information data" into "knowledge representation" for building "thinking model" software systems. However, these levels of intelligence remain at the "sensing + AI" stage. This paper introduces the rapidly emerging concept of "embodied intelligence" from the field of robotics into the domain of radar detection and sensing. Through conceptual connotation analysis, system architecture design, key technology exploration, and application scenario prospects, this paper provides guidance for the development of "embodied intelligent radar" and promotes radar detection to enter the stage of "AI + sensing".

       

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