伙计,我的名片呢?: RFID定位与多路径和非视线工作

Jue Wang, D. Katabi
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引用次数: 535

摘要

rfid正在成为物联网的重要组成部分。2012年,数十亿个rfid被用于设备定位、药品追踪、零售商品标签等。然而,目前的RFID系统只能识别一个被标记的物体是否在无线电范围内(可能长达几十米),但不能精确定位它的确切位置。过去解决这一限制的建议依赖于视距模型,因此在面对多路径效应或非视距时表现不佳,这在实际部署中是典型的。本文介绍了首个对多路径和非视距场景具有鲁棒性的细粒度RFID定位系统。与过去认为多路径有害的工作不同,我们的设计利用多路径来准确定位rfid。我们设计背后的直觉是,附近的rfid经历了类似的多路径环境(例如,环境中的反射器),因此表现出类似的多路径概况。我们使用通过天线运动创建的合成孔径雷达(SAR)捕获和提取这些多径剖面。然后,我们采用动态时间规整(DTW)技术来精确定位标签的位置。我们使用USRP软件无线电建立了我们设计的原型。在我们大学图书馆部署200个商用rfid的结果表明,新设计可以定位错位的书籍,平均精度为11~cm。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dude, where's my card?: RFID positioning that works with multipath and non-line of sight
RFIDs are emerging as a vital component of the Internet of Things. In 2012, billions of RFIDs have been deployed to locate equipment, track drugs, tag retail goods, etc. Current RFID systems, however, can only identify whether a tagged object is within radio range (which could be up to tens of meters), but cannot pinpoint its exact location. Past proposals for addressing this limitation rely on a line-of-sight model and hence perform poorly when faced with multipath effects or non-line-of-sight, which are typical in real-world deployments. This paper introduces the first fine-grained RFID positioning system that is robust to multipath and non-line-of-sight scenarios. Unlike past work, which considers multipath as detrimental, our design exploits multipath to accurately locate RFIDs. The intuition underlying our design is that nearby RFIDs experience a similar multipath environment (e.g., reflectors in the environment) and thus exhibit similar multipath profiles. We capture and extract these multipath profiles by using a synthetic aperture radar (SAR) created via antenna motion. We then adapt dynamic time warping (DTW) techniques to pinpoint a tag's location. We built a prototype of our design using USRP software radios. Results from a deployment of 200 commercial RFIDs in our university library demonstrate that the new design can locate misplaced books with a median accuracy of 11~cm.
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