Distortion Rejecting Magneto-Inductive Three-Dimensional Localization (MagLoc)
Distortion Rejecting Magneto-Inductive Three-Dimensional Localization (MagLoc)
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DOI：
10.1109/jsac.2015.2430518
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发表时间：
2015-11-01
影响因子：
16.4
通讯作者：
Trigoni, Niki
中科院分区：
文献类型：
--
作者：
Abrudan, Traian E.;Xiao, Zhuoling;Trigoni, Niki
本地化是一个研究领域，由于其作为更高级别服务的推动者的过度重要性，已经吸引了大量的研究和商业兴趣。在大多数情况下，可以说GPS为户外跟踪和导航提供了无与伦比的解决方案。然而，对于在GPS拒绝或挑战的环境中的定位，例如室内环境，其中诸如地板和墙壁之类的障碍物严重衰减或反射高频无线电信号，还不能说同样的话。这导致了过多的针对特定应用场景的竞争解决方案，产生了碎片化的解决方案景观。在本文中，我们提出了一种新的方法来3-D定位的基础上使用非常低的频率（kHz）的磁感应（MI）领域。MI定位的最重要属性是，严重影响竞争方法性能的障碍物（如墙壁、地板和人员）在很大程度上对准静态磁场是“透明的”。MI在稳健操作方面存在许多挑战，这些挑战会扭曲位置，包括存在含铁材料和对用户旋转的敏感性。通过跨多个系统层的信号处理和传感器融合，我们展示了如何克服这些挑战。我们展示了它在许多环境中的高精度三维定位，即使在严重扭曲的区域，定位精度也低于0.8米。
Localization is a research area that, due to its over-arching importance as an enabler for higher level services, has attracted a vast amount of research and commercial interest. For the most part, it can be claimed that GPS provides an unparalleled solution for outdoor tracking and navigation. However, the same cannot yet be said about positioning in GPS-denied or challenged environments, such as indoor environments, where obstructions such as floors and walls heavily attenuate or reflect high-frequency radio signals. This has led to a plethora of competing solutions targeted toward a particular application scenario, yielding a fragmented solution landscape. In this paper, we present a fresh approach to 3-D positioning based on the use of very low frequency (kHz) magneto-inductive (MI) fields. The most important property of MI positioning is that obstacles such as walls, floors, and people that heavily impact the performance of competing approaches are largely "transparent" to the quasi-static magnetic fields. MI has a number of challenges to robust operation that distort positions, including the presence of ferrous materials and sensitivity to user rotation. Through signal processing and sensor fusion across multiple system layers, we show how we can overcome these challenges. We showcase its highly accurate 3-D positioning in a number of environments, with positioning accuracy below 0.8 m even in heavily distorted areas.