准确的无处不在的定位与现成的IEEE 802.11ac设备

Alejandro Blanco Pizarro, J. P. Beltran, Marco Cominelli, F. Gringoli, Joerg Widmer
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引用次数: 18

摘要

WiFi定位系统非常精确,最近基于csi的系统有分米级的误差。然而,如此高的精度是在视距(LOS)条件下实现的,并且接入点(AP)密度远高于当前部署中主要以良好覆盖为目标的典型密度。相反,当范围内的许多ap处于非视距(NLOS)时,定位精度急剧下降。在本文中,我们提出了UbiLocate,这是一个WiFi定位系统,可以很好地应对常见的AP部署密度,并且无处不在地工作,即在NLOS下没有过度的退化。UbiLocate证明,通过(i)基于Nelder-Mead搜索的创新角度估计器,(ii)具有纳秒分辨率的细粒度飞行时间测距系统,以及(iii) IEEE 802.11ac带宽和天线数量增加带来的精度提高,米级中值精度NLOS定位是可能的。结合起来,它们提供了优越的多路径组件可分辨性,显著提高了先前工作的定位精度。我们在现成的802.11ac设备上实现我们的定位系统,并使实现,csi提取工具和自定义精细定时测量设计公开提供给研究界。我们对我们的系统进行了广泛的性能分析,并表明它在LOS和NLOS下都比当前最先进的定位系统高出2- 3倍。
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Accurate ubiquitous localization with off-the-shelf IEEE 802.11ac devices
WiFi location systems are remarkably accurate, with decimeter-level errors for recent CSI-based systems. However, such high accuracy is achieved under Line-of-Sight (LOS) conditions and with an access point (AP) density that is much higher than that typically found in current deployments that primarily target good coverage. In contrast, when many of the APs within range are in Non-Line-of-Sight (NLOS), the location accuracy degrades drastically. In this paper we present UbiLocate, a WiFi location system that copes well with common AP deployment densities and works ubiquitously, i.e., without excessive degradation under NLOS. UbiLocate demonstrates that meter-level median accuracy NLOS localization is possible through (i) an innovative angle estimator based on a Nelder-Mead search, (ii) a fine-grained time of flight ranging system with nanosecond resolution, and (iii) the accuracy improvements brought about by the increase in bandwidth and number of antennas of IEEE 802.11ac. In combination, they provide superior resolvability of multipath components, significantly improving location accuracy over prior work. We implement our location system on off-the-shelf 802.11ac devices and make the implementation, CSI-extraction tool and custom Fine Timing Measurement design publicly available to the research community. We carry out an extensive performance analysis of our system and show that it outperforms current state-of-the-art location systems by a factor of 2--3, both under LOS and NLOS.
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