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Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons

机译:基于Wi-Fi指纹的室内定位:最新进展和比较

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摘要

The growing commercial interest in indoor location-based services (ILBS) has spurred recent development of many indoor positioning techniques. Due to the absence of global positioning system (GPS) signal, many other signals have been proposed for indoor usage. Among them, Wi-Fi (802.11) emerges as a promising one due to the pervasive deployment of wireless LANs (WLANs). In particular, Wi-Fi fingerprinting has been attracting much attention recently because it does not require line-of-sight measurement of access points (APs) and achieves high applicability in complex indoor environment. This survey overviews recent advances on two major areas of Wi-Fi fingerprint localization: advanced localization techniques and efficient system deployment. Regarding advanced techniques to localize users, we present how to make use of temporal or spatial signal patterns, user collaboration, and motion sensors. Regarding efficient system deployment, we discuss recent advances on reducing offline labor-intensive survey, adapting to fingerprint changes, calibrating heterogeneous devices for signal collection, and achieving energy efficiency for smartphones. We study and compare the approaches through our deployment experiences, and discuss some future directions.
机译:对室内基于位置的服务(ILBS)的商业兴趣日益增长,刺激了许多室内定位技术的最新发展。由于缺乏全球定位系统(GPS)信号,因此提出了许多其他信号供室内使用。其中,由于无线局域网(WLAN)的广泛部署,Wi-Fi(802.11)成为有前途的设备。尤其是,Wi-Fi指纹识别技术由于不需要视线测量接入点(AP)并在复杂的室内环境中具有很高的适用性,因此最近引起了广泛关注。这项调查概述了Wi-Fi指纹本地化的两个主要领域的最新进展:先进的本地化技术和有效的系统部署。关于本地化用户的高级技术,我们介绍了如何利用时间或空间信号模式,用户协作和运动传感器。关于有效的系统部署,我们讨论了以下方面的最新进展:减少离线劳动密集型调查,适应指纹变化,校准用于信号收集的异构设备以及实现智能手机的能源效率。我们通过部署经验来研究和比较这些方法,并讨论一些未来的方向。

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