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.

• Type: Conference
• Year: 2005
• Where: INFOCOM
• Authors: David Madigan, E. Einahrawy, R. P. Martin, Wen-Hua Ju, P. Krishnan, A. S. Krishnakumar
• Keywords: Bayesian Hierarchical Model, Communications, Indoor Location Estimation, INFOCOM 2005, Location Estimation