Title
Adaptive Bayesian Radio Tomography.
Abstract
Radio tomographic imaging (RTI) is an emerging technology to locate physical objects in a geographical area covered by wireless networks. From the attenuation measurements collected at spatially distributed sensors, radio tomography capitalizes on spatial loss fields (SLFs) measuring the absorption of radio frequency waves at each location along the propagation path. These SLFs can be utilized for...
Year
DOI
Venue
2019
10.1109/TSP.2019.2899806
IEEE Transactions on Signal Processing
Keywords
Field
DocType
Tomography,Bayes methods,Hidden Markov models,Sensors,Shadow mapping,Adaptation models
Wireless network,Mathematical optimization,Tomographic reconstruction,Wireless,Markov chain Monte Carlo,Hidden Markov random field,Algorithm,Radio frequency,Mathematics,Piecewise,Estimator
Journal
Volume
Issue
ISSN
67
8
1053-587X
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Donghoon Lee152.10
Dimitris Berberidis2457.47
Georgios B. Giannakis34977340.58