非视线传播
计算机科学
鉴定(生物学)
多径传播
分类
实时计算
数据挖掘
电信
人工智能
无线
植物
生物
频道(广播)
作者
Raphael E. Nkrow,Bruno Silva,Dutliff Boshoff,Gerhard P. Hancke,Mikael Gidlund,Adnan M. Abu‐Mahfouz
摘要
One hurdle to accurate indoor localization using time-based networks is the presence of Non-Line-Of-Sight (NLOS) and multipath signals, affecting the accuracy of ranging in indoor environments. NLOS identification and mitigation have been studied over the years and applied to different time-based networks, with most works considering NLOS links with WiFi and UWB channels. In this article, we discuss the effects and challenges of NLOS conditions on indoor localization and present current state-of-the-art approaches to NLOS identification and mitigation in literature. We survey these approaches and classify them under different categories together with their merits and demerits. We further categorize approaches to tackle NLOS effects into single and hybrid measurement-based approaches in this work. Lessons learnt from the survey with future directions are also presented in this article.
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