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 Lee | 1 | 5 | 2.10 |
Dimitris Berberidis | 2 | 45 | 7.47 |
Georgios B. Giannakis | 3 | 4977 | 340.58 |