SAIL:基于单接入点的室内定位

A. Mariakakis, Souvik Sen, Jeongkeun Lee, Kyu-Han Kim
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引用次数: 230

摘要

提出了一种基于单接入点的室内定位系统SAIL。尽管基于WiFi的定位技术已经取得了进步,但我们发现现有的解决方案要么需要密集部署接入点(AP),要么需要手动指纹识别,要么需要耗能的WiFi扫描,要么需要复杂的AP硬件。我们使用单一商品WiFi AP来设计SAIL,以避免这些限制。SAIL利用信号在两者之间传递的传播延迟计算客户端和AP之间的距离,将距离与智能手机航位推算技术相结合,并采用几何方法最终使用单个AP获得客户端的位置。SAIL结合物理层(PHY)信息和人体运动来计算直接路径的传播延迟。消除了多径的不利影响,提高了亚米距离估计精度。此外,SAIL系统地解决了使用智能手机传感器进行航位推算的一些常见挑战,并比现有技术实现了2-5倍的精度提高。我们已经在商用无线ap和智能手机上实现了SAIL。在10个移动用户的大型企业环境中进行的评估表明,SAIL仅使用一个AP就可以捕获用户的位置,平均误差为2.3m。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SAIL: single access point-based indoor localization
This paper presents SAIL, a Single Access Point Based Indoor Localization system. Although there have been advances in WiFi-based positioning techniques, we find that existing solutions either require a dense deployment of access points (APs), manual fingerprinting, energy hungry WiFi scanning, or sophisticated AP hardware. We design SAIL using a single commodity WiFi AP to avoid these restrictions. SAIL computes the distance between the client and an AP using the propagation delay of the signal traversing between the two, combines the distance with smartphone dead-reckoning techniques, and employs geometric methods to ultimately yield the client's location using a single AP. SAIL combines physical layer (PHY) information and human motion to compute the propagation delay of the direct path by itself, eliminating the adverse effect of multipath and yielding sub-meter distance estimation accuracy. Furthermore, SAIL systematically addresses some of the common challenges towards dead-reckoning using smartphone sensors and achieves 2-5x accuracy improvements over existing techniques. We have implemented SAIL on commodity wireless APs and smartphones. Evaluation in a large-scale enterprise environment with 10 mobile users demonstrates that SAIL can capture the user's location with a mean error of 2.3m using just a single AP.
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