An Exponential-Rayleigh Model for RSS-Based Device-Free Localization and Tracking

被引：118

作者：

Guo, Yao ^{[1
]}

Huang, Kaide ^{[1
]}

Jiang, Nanyong ^{[1
]}

Guo, Xuemei ^{[1
]}

Li, Youfu ^{[2
]}

Wang, Guoli ^{[1
]}

机构：

[1] Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510006, Guangdong, Peoples R China

[2] City Univ Hong Kong, Dept Mech & Biomed Engn, Kowloon, Hong Kong, Peoples R China

来源：

IEEE TRANSACTIONS ON MOBILE COMPUTING | 2015年 / 14卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Device-free localization and tracking; RSS model; wireless sensor networks; multipath interference; particle filters; SENSOR NETWORKS; FILTERS;

D O I：

10.1109/TMC.2014.2329007

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A common technical difficulty in device-free localization and tracking (DFLT) with a wireless sensor network is that the change of the received signal strength (RSS) of the link often becomes more unpredictable due to the multipath interferences. This challenge can lead to unsatisfactory or even unstable DFLT performance. This work focuses on developing a new RSS model, called Exponential-Rayleigh (ER) model, for addressing this challenge. Based on data from our extensive experiments, we first develop the ER model of the received signal strength. This model consists of two parts: the large-scale exponential attenuation part and the small-scale Rayleigh enhancement part. The new consideration on using the Rayleigh model is to depict the target-induced multipath components. We then explore the use of the ER model with a particle filter in the context of multi-target localization and tracking. Finally, we experimentally demonstrate that our ER model outperforms the existing models. The experimental results highlight the advantages of using the Rayleigh model in mitigating the multipath interferences thus improving the DFLT performance.

引用

页码：484 / 494

页数：11

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