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INFOCOM
2005
IEEE

Bayesian indoor positioning systems

13 years 9 months ago
Bayesian indoor positioning systems
— In this paper, we introduce a new approach to location estimation where, instead of locating a single client, we simultaneously locate a set of wireless clients. We present a Bayesian hierarchical model for indoor location estimation in wireless networks. We demonstrate that our model achieves accuracy that is similar to other published models and algorithms. By harnessing prior knowledge, our model eliminates the requirement for training data as compared with existing approaches, thereby introducing the notion of a fully adaptive zero profiling approach to location estimation.
David Madigan, E. Einahrawy, R. P. Martin, Wen-Hua
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where INFOCOM
Authors David Madigan, E. Einahrawy, R. P. Martin, Wen-Hua Ju, P. Krishnan, A. S. Krishnakumar
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