论文标题

无处不在的室内细粒定位和跟踪:频道响应的视角

Ubiquitous Indoor Fine-Grained Positioning and Tracking: A Channel Response Perspective

论文作者

Li, Chenglong, Tanghe, Emmeric, Pollin, Sofie, Joseph, Wout

论文摘要

位置辅助应用程序的未来是由Things Internet设备的普遍存在所塑造的。随着越来越多的商业现成无线电设备支持频道响应收集,可以以相对较低的成本实现细粒度的位置估计。在本文中,我们专注于基于渠道响应的定位和各种应用程序的跟踪。我们首先概述了基于频道响应的本地化的最新技术状态(SOTA),该定位将进一步分为两类,即基于设备的和无触点的方案。提供了有关这些补充方法的分类法,以涉及所涉及的技术。然后,我们为基于设备和无触点方案的基于通道响应的直接定位和跟踪提供了微基准。最后,指出了现实世界应用和未来研究机会的一些实际问题。

The future of location-aided applications is shaped by the ubiquity of Internet-of-Things devices. As an increasing amount of commercial off-the-shelf radio devices support channel response collection, it is possible to achieve fine-grained position estimation at a relatively low cost. In this paper, we focus on the channel response-based positioning and tracking for various applications. We first give an overview of the state of the art (SOTA) of channel response-enabled localization, which is further classified into two categories, i.e., device-based and contact-free schemes. A taxonomy for these complementary approaches is provided concerning the involved techniques. Then, we present a micro-benchmark of channel response-based direct positioning and tracking for both device-based and contact-free schemes. Finally, some practical issues for real-world applications and future research opportunities are pointed out.

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