毫米波:毫米波反向反射标签,用于精确的远程定位

E. Soltanaghaei, Akarsh Prabhakara, Artur Balanuta, M. Anderson, J. Rabaey, Swarun Kumar, Anthony G. Rowe
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引用次数: 57

摘要

本文介绍了Millimetro,一种超低功耗标签,可以在长距离上以高精度定位。我们在自动驾驶的背景下开发了Millimetro,以有效地定位道路基础设施,如车道标记和道路标志,即使在视觉传感失效的情况下,这些基础设施被遮挡在视线之外。虽然基于射频的定位提供了一种自然的解决方案,但目前的超低功耗定位系统在严格的延迟要求下难以在扩展范围内准确运行。Millimetro通过重新使用现有的毫米波频率的汽车雷达来解决这一挑战,在毫米波频率下,有充足的带宽可用,以确保高精度和低延迟。我们通过建立Van Atta阵列来解决毫米波频段标签信号所经历的关键自由空间路径损耗问题,该阵列以最小的损耗和低功耗将入射能量反向反射回发射雷达。我们在室内和室外的实验结果展示了一个可扩展的系统,该系统在理想的范围(超过100米),精度(厘米级)和超低功耗(< 3 uW)下运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Millimetro: mmWave retro-reflective tags for accurate, long range localization
This paper presents Millimetro, an ultra-low-power tag that can be localized at high accuracy over extended distances. We develop Millimetro in the context of autonomous driving to efficiently localize roadside infrastructure such as lane markers and road signs, even if obscured from view, where visual sensing fails. While RF-based localization offers a natural solution, current ultra-low-power localization systems struggle to operate accurately at extended ranges under strict latency requirements. Millimetro addresses this challenge by re-using existing automotive radars that operate at mmWave frequency where plentiful bandwidth is available to ensure high accuracy and low latency. We address the crucial free space path loss problem experienced by signals from the tag at mmWave bands by building upon Van Atta Arrays that retro-reflect incident energy back towards the transmitting radar with minimal loss and low power consumption. Our experimental results indoors and outdoors demonstrate a scalable system that operates at a desirable range (over 100 m), accuracy (centimeter-level), and ultra-low-power (< 3 uW).
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