Name
Abstract | ||
|---|---|---|
Radio Tomographic Imaging (RTI) is an emerging technology for imaging the attenuation caused by physical objects in wireless networks. This paper presents a linear model for using received signal strength (RSS) measurements to obtain images of moving objects. Noise models are investigated based on real measurements of a deployed RTI system. Mean-squared error (MSE) bounds on image accuracy are derived, which are used to calculate the accuracy of an RTI system for a given node geometry. The ill-posedness of RTI is discussed, and Tikhonov regularization is used to derive an image estimator. Experimental results of an RTI experiment with 28 nodes deployed around a 441 square foot area are presented. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TMC.2009.174 | IEEE Trans. Mob. Comput. |
Keywords | Field | DocType |
image accuracy,tikhonov regularization,image estimator,rti system,radio tomographic imaging,rti experiment,node geometry,linear model,wireless networks,mean-squared error,gaussian noise,tomography,radar imaging,signal strength,wireless,linear system,image reconstruction,automatic control,wireless network,sensor networks,wireless sensor networks,linear systems,optical scattering,applications,mean squared error,optical imaging,radio frequency,sensor network,emerging technology | Tikhonov regularization,Wireless network,Radar imaging,Tomographic reconstruction,Wireless,Telecommunications,Computer science,Sensor array,Mean squared error,Real-time computing,Wireless sensor network,Distributed computing | Journal |
Volume | Issue | ISSN |
9 | 5 | 1536-1233 |
Citations | PageRank | References |
294 | 15.00 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joey Wilson | 1 | 469 | 24.16 |
| Neal Patwari | 2 | 3805 | 241.58 |