Applications of bayesian filtering in wireless networks: clock synchronization, localization, and rf tomography
In this work, we investigate the application of Bayesian filtering techniques such as Kalman Filtering and Particle filtering to the problems of network time synchronization, self-localization and radio-frequency (RF) tomography in wireless networks. Networks of large numbers of small, cheap, mobile...
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Georgia Institute of Technology
2012
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| Online Access: | http://hdl.handle.net/1853/44707 |