Yuan Wu , Mengyi He , Wei Li , Izzy Yi Jian , Yue Yu , Liang Chen , Ruizhi Chen
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引用次数: 0
Abstract
IEEE 802.11–2016 proposed the Wi-Fi Fine Time Measurement (FTM) protocol, aiming at providing meter or sub-meter level ranging function between smart terminals and Wi-Fi access points (APs). Compared with other indoor positioning technologies for instance, Bluetooth, acoustic, visible light, Ultra-wideband, etc., Wi-Fi has been characterized by low cost, no deployment, and potentially high positioning precision, especially with the enhancement of FTM, which enables Wi-Fi to be a competitive technology for Internet of Things, indoor location-based services (iLBSs), smart city, and many other fields. In this article, we first present a comprehensive survey that focuses on the Wi-Fi FTM technology, which contains the working principle, measurement for positioning, and methods comparison. We highlight the current FTM-related localization methods especially learning and multi-source fusion-based approaches. Then, we review the real-world applications and existing commercial solutions, revealing the possible directions for the industrialization of Wi-Fi FTM localization. Finally, this paper analyzes existing open issues of Wi-Fi FTM positioning (e.g., capability, scalability, multipath, NLOS, device heterogeneity, and privacy) and discusses the potential development trends.
IEEE 802.11-2016提出了Wi-Fi Fine Time Measurement (FTM)协议,旨在提供智能终端与Wi-Fi接入点(ap)之间的米级或亚米级测距功能。与蓝牙、声学、可见光、超宽带等其他室内定位技术相比,Wi-Fi具有成本低、无需部署、定位精度高的特点,特别是随着FTM技术的增强,Wi-Fi在物联网、室内定位服务(iLBSs)、智慧城市等诸多领域具有竞争力。在本文中,我们首先对Wi-Fi FTM技术进行了全面的综述,包括工作原理、定位测量和方法比较。我们重点介绍了目前与ftm相关的定位方法,特别是基于学习和多源融合的方法。然后,我们回顾了现实应用和现有的商业解决方案,揭示了Wi-Fi FTM本地化产业化的可能方向。最后,本文分析了Wi-Fi FTM定位存在的开放性问题(如能力、可扩展性、多路径、NLOS、设备异构性和隐私性),并讨论了潜在的发展趋势。
期刊介绍:
Information Fusion serves as a central platform for showcasing advancements in multi-sensor, multi-source, multi-process information fusion, fostering collaboration among diverse disciplines driving its progress. It is the leading outlet for sharing research and development in this field, focusing on architectures, algorithms, and applications. Papers dealing with fundamental theoretical analyses as well as those demonstrating their application to real-world problems will be welcome.