PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Topics in Probabilistic Location Estimation in Wireless Networks
Petri Kontkanen, Petri Myllymäki, Teemu Roos, Henry Tirri, Kimmo Valtonen and Hannes Wettig
In: PIMRC 2004, 5-8 Sep 2004, Barcelona, Spain.


In this survey-style paper we demonstrate the usefulness of the probabilistic modelling framework in solving not only the actual positioning problem, but also many related problems involving issues like calibration, active learning, error estimation and tracking with history. We also point out some interesting links between positioning research done in the area of robotics and in the area of wireless radio networks.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Theory & Algorithms
ID Code:121
Deposited By:Hannes Wettig
Deposited On:27 May 2004