4.6 Article

Multipath-Enhanced Device-Free Localization in Wideband Wireless Networks

期刊

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LAWP.2021.3052438

关键词

Location awareness; Wireless networks; Delays; Fading channels; Indexes; Performance evaluation; Estimation; Cramé r– Rao lower bounds (CRLBs); device-free localization (DFL); multipath propagation; wireless sensor networks

向作者/读者索取更多资源

State-of-the-art device-free localization systems are enhanced by exploiting multipath propagation between network nodes, particularly indoors where wireless channels have multipath components due to reflection and scattering. Geometrically derived propagation paths of these components, when considered as additional links in the network, improve localization performance and increase coverage area significantly based on theoretical performance bounds on the localization error.
State-of-the-art device free localization systems infer presence and location of users based on received signal strength measurements of line-of-sight links in wireless networks. In this letter, we propose to enhance device free localization systems by exploiting multipath propagation between the individual network nodes. Particularly, indoors, wireless propagation channels are characterized by multipath propagation, i.e., received signals comprise multipath components due to reflection and scattering. Given prior information about the surrounding environment, e.g., a floor plan, the individual propagation paths of multipath components can be derived geometrically. Inherently, these propagation paths differ spatially from the line-of-sight propagation path and can be considered as additional links in the wireless network. This extended network determines the novel multipath-enhanced device free localization system. Using theoretical performance bounds on the localization error, we show that including multipath components into device-free localization systems improves the overall localization performance and extends the coverage area significantly.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据