Paper Info
Title
A Fade-Level Skew-Laplace Signal Strength Model for Device-Free Localization with Wireless Networks
Abstract
Device-free localization (DFL) is the estimation of the position of a person or object that does not carry any electronic device or tag. Existing model-based methods for DFL from RSS measurements are unable to locate stationary people in heavily obstructed environments. This paper introduces measurement-based statistical models that can be used to estimate the locations of both moving and stationary people using received signal strength (RSS) measurements in wireless networks. A key observation is that the statistics of RSS during human motion are strongly dependent on the RSS "fade level” during no motion. We define fade level and demonstrate, using extensive experimental data, that changes in signal strength measurements due to human motion can be modeled by the skew-Laplace distribution, with parameters dependent on the position of person and the fade level. Using the fade-level skew-Laplace model, we apply a particle filter to experimentally estimate the location of moving and stationary people in very different environments without changing the model parameters. We also show the ability to track more than one person with the model.
Year
DOI
Venue
2012
10.1109/TMC.2011.102
IEEE Trans. Mob. Comput.
Keywords
Field
DocType
fade-level skew-laplace model,human motion,signal strength measurement,signal strength,stationary people,statistical model,model parameter,device-free localization,fade-level skew-laplace signal strength,wireless networks,rss measurement,skew-laplace distribution,signal processing,laplace distribution,computational modeling,fading,tracking,calibration,computer model,wireless network,object tracking,particle filter,statistical analysis
Signal processing,Wireless network,Computer science,Particle filter,Algorithm,Speech recognition,Video tracking,Skew,Statistical model,Fade,RSS,Distributed computing
Journal
Volume
Issue
ISSN
11
6
1536-1233
Citations 
PageRank 
References 
83
3.43
10
Authors
2
Name
Order
Citations
PageRank
Joey Wilson146924.16
Neal Patwari23805241.58