计算机科学
笔记本电脑
背景(考古学)
信道状态信息
过程(计算)
集合(抽象数据类型)
国家(计算机科学)
实时计算
跟踪(教育)
对象(语法)
计算机硬件
计算机工程
人工智能
无线
算法
电信
操作系统
古生物学
生物
程序设计语言
教育学
心理学
作者
Ibrahim Sabek,Moustafa Youssef
出处
期刊:Cornell University - arXiv
日期:2013-08-04
被引量:1
摘要
Device-free (DF) localization is an emerging technology that allows the detection and tracking of entities that do not carry any devices nor participate actively in the localization process. Typically, DF systems require a large number of transmitters and receivers to achieve acceptable accuracy, which is not available in many scenarios such as homes and small businesses. In this paper, we introduce MonoStream as an accurate single-stream DF localization system that leverages the rich Channel State Information (CSI) as well as MIMO information from the physical layer to provide accurate DF localization with only one stream. To boost its accuracy and attain low computational requirements, MonoStream models the DF localization problem as an object recognition problem and uses a novel set of CSI-context features and techniques with proven accuracy and efficiency. Experimental evaluation in two typical testbeds, with a side-by-side comparison with the state-of-the-art, shows that MonoStream can achieve an accuracy of 0.95m with at least 26% enhancement in median distance error using a single stream only. This enhancement in accuracy comes with an efficient execution of less than 23ms per location update on a typical laptop. This highlights the potential of MonoStream usage for real-time DF tracking applications.
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