wifi 802.11mc精细时间测量为黄金时段定位做好准备了吗?

Shivang Aggarwal, R. Sheshadri, K. Sundaresan, Dimitrios Koutsonikolas
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引用次数: 3

摘要

WiFi基于精细时间测量(FTM)的测距协议为WiFi遍布的企业和消费者生态系统中大规模采用位置感知应用和服务奠定了基础。然而,这种商业规模的本地化解决方案缺乏部署,这促使我们进行了一项全面的实验研究,旨在验证WiFi的FTM是否确实为黄金时段的本地化做好了准备。由于操作(设备、环境和频谱)的异质性是商业部署的基本要素,我们的研究重点是FTM在这种实际条件下提供可用定位的能力。作为同类研究中的第一个,我们的研究揭示了FTM实际操作的几个有趣的见解,其中最关键的是它无法消除异构设备和配置之间的估计范围内的大量偏移,这些偏移会显著降低性能(高达20米误差)。尽管对FTM的准备情况不利,但我们也提出了一个简单但有希望的补救措施-一种超顶自动校准解决方案,允许每个WiFi设备在进入企业环境时按需自校准其偏移量,从而挽救FTM,使其对定位有用(中位数误差为2米)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is wifi 802.11mc fine time measurement ready for prime-time localization?
WiFi's fine time measurement (FTM) based ranging protocol has set the stage for mass adoption of location-aware applications and services in WiFi-pervading enterprise and consumer ecosystems. However, the lack of deployment of such commercial-scale localization solutions has motivated us to conduct a comprehensive experimental study that aims to verify whether WiFi's FTM is indeed ready for prime-time localization. With heterogeneity in operation (devices, environments, and spectrum) being the fundamental essence of commercial deployments, our study focuses on FTM's ability to deliver useable localization under such practical conditions. Being a first of its kind, our study reveals several interesting insights for practical operation of FTM, with the most critical of them being its inability to eliminate substantial offsets in estimated ranges between heterogeneous devices and configurations that degrade performance significantly (up to 20 m error). Albeit a negative result for FTM's readiness, we also propose a simple but promising remedy - an over-the-top auto-calibration solution that allows every WiFi device, when it enters an enterprise environment, to self-calibrate its offsets on-demand, thereby salvaging FTM to render it useful (median error of 2 m) for localization.
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