Indoor positioning in peer-to-peer networks

We present two algorithms for indoor positioning in peer-to-peer networks. The setup is a network of two types of devices: reference devices with a known location, and user devices that can determine distances to reference devices and each other. We present two algorithms for positioning estimation...

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Bibliographic Details
Published in2010 5th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC) pp. 1 - 8
Main Authors Brussee, R, Dǎrǎu, M, Dworczynska, M, Fan, Y, Koeleman, P, Kowalczyk, P, Samson, J, Schlömer, N, Swist, T, van Wijk, S
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Covariance matrix
Distance measurement
Equations
Global Navigation Satellite Systems
least squares
Least squares approximation
Navigation algorithm
peer-to peer network
positioning estimate
Probability density function
Uncertainty
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Summary:We present two algorithms for indoor positioning in peer-to-peer networks. The setup is a network of two types of devices: reference devices with a known location, and user devices that can determine distances to reference devices and each other. We present two algorithms for positioning estimation in such a peer-to-peer network. The first one is purely geometric and reduces determining the best estimate for the position of a device to a least squares problem. The second approach can be considered as a probabilistic version of the geometric approach. We estimate the probability density function that a device is located at a position, given a probability density function for the positions of the other devices in the network, and a probability density function of the measured distances.
ISBN:1424487404
9781424487400
ISSN:2325-5439
DOI:10.1109/NAVITEC.2010.5708029