调谐到您的位置:FM收音机基于室内定位与自发重新校准

A. Matic, Andrei Papliatseyeu, V. Osmani, O. Mayora-Ibarra
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引用次数: 85

摘要

在普适计算环境中,移动用户的位置信息已经成为非常重要的信息。基于Wi-Fi信号强度指纹识别技术的室内定位系统广泛应用于已有Wi-Fi基础设施的办公建筑中。我们之前的工作提出了一种基于调频信号的解决方案来处理没有Wi-Fi信号覆盖的环境或只有单个Wi-Fi接入点的环境。然而,室内无线定位系统的一个普遍问题是由于环境因素影响信号传播而导致的信号退化。因此,为了保持理想的定位精度水平,有必要对系统进行定期校准,这要么耗时,要么需要专用设备和专业知识。在本文中,我们提出了FM与Wi-Fi定位系统的比较,以及两者的组合,利用它们在室内定位中的优势。最后,我们通过引入自发再校准的新概念来解决再校准问题,并使用调频定位系统进行了演示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tuning to your position: FM radio based indoor localization with spontaneous recalibration
Position of mobile users has become highly important information in pervasive computing environments. Indoor localization systems based on Wi-Fi signal strength fingerprinting techniques are widely used in office buildings with existing Wi-Fi infrastructure. Our previous work has proposed a solution based on exploitation of FM signal to deal with environments not covered with Wi-Fi signal or environments with only single Wi-Fi access point. However, a general problem of indoor wireless positioning systems pertains to signal degradation due to the environmental factors affecting signal propagation. Therefore, in order to maintain a desirable level of localization accuracy, it becomes necessary to perform periodic calibration of the system, which is either time consuming or requires dedicated equipment and expert knowledge. In this paper, we present a comparison of FM versus Wi-Fi positioning systems and a combination of both systems, exploiting their strengths for indoors positioning. Finally, we address the problem of recalibration by introducing a novel concept of spontaneous recalibration and demonstrate it using the FM localization system.
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