Decimeter-Level WiFi Tracking in Real-Time

Zheng Yang, Wei Gong
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引用次数: 4

Abstract

This paper presents DeTrack, a tracking system that can continuously trace WiFi objects at decimeter-level in real-time. To enable this, we make three main proposals. The first one is a super-resolution localization scheme that combines compressed sensing and expectation-maximization algorithms to iteratively resolve multi-path, which realizes better resolution compared against traditional MUSIC. The second one is a customized particle filter that takes advantage of WiFi signals and the geometric nature of AOA estimates to properly update location states and particle weights. Finally, an SVD-based multipacket fusion is employed to reinforce the signal space and improve tracking efficiency at the same time. A prototype is built using only commercial WiFi NICs. Extensive experiments demonstrate that DeTrack achieves an 80th percentile localization accuracy of 0.9 meters and a median latency of around 90 milliseconds. As a result, DeTrack is looking to benefit a wide range of applications, e.g., indoor navigation, intelligent logistics, and smart cities.
分米级实时WiFi跟踪
本文介绍了一种可以连续跟踪分米级WiFi对象的实时跟踪系统DeTrack。为此,我们提出三项主要建议。第一种是结合压缩感知和期望最大化算法迭代求解多路径的超分辨率定位方案,实现了比传统MUSIC更高的分辨率。第二种是定制的粒子滤波器,它利用WiFi信号和AOA估计的几何特性来适当地更新位置状态和粒子权重。最后,采用基于奇异值分解的多包融合增强了信号空间,同时提高了跟踪效率。仅使用商用WiFi网卡构建原型。大量的实验表明,DeTrack实现了80百分位定位精度为0.9米,中位延迟约为90毫秒。因此,DeTrack正在寻求广泛的应用,例如室内导航、智能物流和智能城市。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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