mmRadarTwin：面向室内毫米波雷达的测量校准信号级数字孪生平台
mmRadarTwin: A Measurement-Calibrated Signal-Level Digital Twin Platform for Indoor mmWave Radar
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中文总结 AI 辅助
针对室内毫米波雷达感知难复现问题，本文提出mmRadarTwin信号级数字孪生平台，通过仿真与实测接口关联实现雷达响应复现，经办公室场景评估其在中心视场召回70.8%的测量响应区域，为雷达数字孪生构建诊断提供实用工作流。
中文摘要 AI 辅助
室内毫米波雷达感知难以复现，因为实测的距离-角度响应依赖于场景几何、材料响应、多径、硬件约定及信号处理。现有射线追踪和数字孪生工具通常暴露渲染、信道或路径级量，而雷达感知需要能在与真实FMCW测量相同域中处理和对比的复杂信号产物。本文提出mmRadarTwin，一种面向室内毫米波雷达的信号级带路径属性的数字孪生平台。mmRadarTwin通过共享接收信道和距离-角度处理接口，将真实雷达测量分支与Unreal Engine场景仿真分支相连。该仿真器生成复杂的多通道接收网格，并导出每条路径的贡献记录，记录中包含每个仿真回波的主体、材料标签、传播事件及输出bin支持信息。我们采用商用单基地毫米波雷达和移动场景采集硬件，在办公室部署中对mmRadarTwin进行评估：在22个雷达位置的154个测量位姿中，当前仅基于物理的路径基仿真器在中心可用视场内召回了70.8%的测量活跃几何支持的响应区域，同时暴露出由弱路径支持或缺失路径支持、响应偏移、不支持的锚点及缺失物理机制导致的残差。mmRadarTwin未宣称实现完整雷达地图重建或跨房间泛化，而是建立了用于构建、对比和诊断室内雷达数字孪生的实用系统工作流。
英文摘要
Indoor mmWave radar perception is difficult to reproduce because measured range-angle responses depend on scene geometry, material response, multipath, hardware conventions, and signal processing. Existing ray-tracing and digital-twin tools often expose rendering, channel, or path-level quantities, while radar sensing requires complex signal products that can be processed and compared in the same domain as real FMCW measurements. We present mmRadarTwin, a signal-level and path-attributed digital-twin platform for indoor mmWave radar. mmRadarTwin links a real radar measurement branch with an Unreal Engine scene-simulation branch through a shared receive-channel and range-angle processing interface. The simulator writes complex multi-channel receive grids and exports per-path contribution records that identify the actor, material tag, propagation event, and output-bin support of each simulated return. We evaluate mmRadarTwin in an office deployment using a commodity monostatic mmWave radar and mobile scene-capture hardware. Across 154 measured poses spanning 22 radar locations, the current physics-only path-basis simulator recalls 70.8% of measurement-active geometry-supported response regions in the central usable field of view while exposing residuals caused by weak or missing path support, shifted responses, unsupported anchors, and missing physical mechanisms. Rather than claiming complete radar-map reconstruction or cross-room generalization, mmRadarTwin establishes a practical systems workflow for constructing, comparing, and diagnosing indoor radar digital twins.
发表机构
- The University of Sydney（悉尼大学）
机构由 AI 辅助整理，请以论文原文为准。
