Avoiding multipath to revive inbuilding WiFi localization
Avoiding multipath to revive inbuilding WiFi localization
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DOI：
10.1145/2462456.2464463
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发表时间：
2013-06
期刊：
影响因子：
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通讯作者：
Souvik Sen;Jeongkeun Lee;Kyu-Han Kim;Paul Congdon
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文献类型：
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作者：
Souvik Sen;Jeongkeun Lee;Kyu-Han Kim;Paul Congdon
尽管进行了数年的创新研究，但室内定位仍然不是主流。现有技术要么采用笨拙的指纹识别，要么依赖于其他基础架构的部署。我们提出了更容易采用的解决方案，我们提出了不受这些限制的丘比特，但准确性是可比的。尽管现有的基于WiFi的解决方案非常容易受到室内多径的影响，但Cupid利用物理层（PHY）信息来提取仅直接路径的信号强度和角度，从而成功地避免了多径反射的效果。我们的主要观察结果是，自然的人类移动性与PHY层信息结合使用，可以帮助准确估算移动设备与无线接入点（AP）的角度和距离。现实世界中使用现成的无线芯片组的室内实验确认了丘比特的可行性。此外，尽管以前的方法依赖于多个AP，但丘比特只有单个AP就可以定位设备。当还有更多AP可用时，丘比特可以将中位定位误差提高到270万，这与依靠昂贵的指纹或其他基础架构的方案相当。
Despite of several years of innovative research, indoor localization is still not mainstream. Existing techniques either employ cumbersome fingerprinting, or rely upon the deployment of additional infrastructure. Towards a solution that is easier to adopt, we propose CUPID, which is free from these restrictions, yet is comparable in accuracy. While existing WiFi based solutions are highly susceptible to indoor multipath, CUPID utilizes physical layer (PHY) information to extract the signal strength and the angle of only the direct path, successfully avoiding the effect of multipath reflections. Our main observation is that natural human mobility, when combined with PHY layer information, can help in accurately estimating the angle and distance of a mobile device from an wireless access point (AP). Real-world indoor experiments using off-the-shelf wireless chipsets confirm the feasibility of CUPID. In addition, while previous approaches rely on multiple APs, CUPID is able to localize a device when only a single AP is present. When a few more APs are available, CUPID can improve the median localization error to 2.7m, which is comparable to schemes that rely on expensive fingerprinting or additional infrastructure.