mmMirror: Device Free mmWave Indoor NLoS Localization Using Van-Atta-Array IRS
Yihe Yan, Zhenguo Shi, Yanxiang Wang, Cheng Jiang, Chun Tung Chou, Wen Hu
工业4.0正在通过将机器人集成到共享的人类环境中(如工厂、仓库和医疗保健设施)来改变制造业和物流。 然而,人机碰撞的风险,特别是在非视线(NLoS)场景,如拐角处,仍然是一个关键挑战。 现有的解决方案,如基于视觉和激光雷达系统,通常在遮挡、照明限制或隐私问题下失败,而基于射频的系统则受到范围和准确性的限制。 为了解决这些限制,我们提出了mmMirror,这是一种利用基于Van Atta Array的毫米波(mmWave)可重新配置的智能反射面(IRS)的新型系统,可实现精确,无设备的NLoS定位。 mmMirror与现有的频率调制连续波(FMCW)雷达无缝集成,并提供:(i)强大的NLoS定位,在高达3米的范围内实现厘米级精度。通过动态光束转向来定位场景,以及(iv)通过自适应时间段分配减少扫描延迟。 mmMirror使用商品24 GHz雷达和基于PCB的IRS原型实现,展示了其在动态和复杂环境中实现安全的人机交互的潜力。
Industry 4.0 is transforming manufacturing and logistics by integrating robots into shared human environments, such as factories, warehouses, and healthcare facilities. However, the risk of human-robot collisions, especially in Non-Line-of-Sight (NLoS) scenarios like around corners, remains a critical challenge. Existing solutions, such as vision-based and LiDAR systems, often fail under occlusion, lighting constraints, or privacy concerns, while RF-based systems are limited by range and accurac...