Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons
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DOI：
10.1109/comst.2015.2464084
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发表时间：
2016-01-01
影响因子：
35.6
通讯作者：
Chan, S. -H. Gary
中科院分区：
文献类型：
--
作者：
He, Suining;Chan, S. -H. Gary
室内定位服务（ILBS）日益增长的商业兴趣刺激了许多室内定位技术的发展。由于缺乏全球定位系统（GPS）信号，许多其他信号已被提出用于室内使用。其中，Wi-Fi（802.11）由于无线局域网（wlan）的普遍部署而成为一个有前途的技术。特别是Wi-Fi指纹识别技术，由于不需要对接入点（ap）进行视距测量，在复杂的室内环境中具有很高的适用性，近年来备受关注。本文综述了Wi-Fi指纹定位的两个主要领域的最新进展：先进的定位技术和高效的系统部署。关于定位用户的先进技术，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。在高效的系统部署方面，我们讨论了在减少线下劳动密集型调查、适应指纹变化、校准异构设备进行信号采集以及实现智能手机能效方面的最新进展。我们通过自己的部署经验对这些方法进行了研究和比较，并讨论了一些未来的发展方向。
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.