Indoor positioning in peer to peer networks

R. Brussee, M. Darau, M. Dworczynska, Y. Fan, P. Koeleman, P. Kowalczyk, J. Samson, N. Schlömer, T. Swist, A.C.C. Wijk, van

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 5th ESA Workshop on Satellite Navigation Technologies (NAVITEC, Noordwijk, The Netherlands, December 8-10, 2010)
PublisherInstitute of Electrical and Electronics Engineers
Pages1-8
ISBN (Print)978-1-4244-8740-0
DOIs
Publication statusPublished - 2010

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