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Robust cooperative sensor network localization via the EM criterion in LOS/NLOS environments
Technical University Darmstadt, Germany.
Technical University Darmstadt, Germany.
IFEN GmbH, Poing, Germany.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
2013 (English)In: IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2013, IEEE , 2013, 505-509 p.Conference paper (Refereed)
Abstract [en]

We investigate robust cooperative localization in LOS/NLOS environments in wireless sensor networks. Round-trip time-of-arrival signal metric is considered so that time synchronization among sensors can be avoided. Owing to the non-line-of-sight effect, we model the measurement error by a two-mode Gaussian mixture distribution. However, its parameters are assumed completely unknown. We propose a centralized localization algorithm, which jointly estimates the unknown geographical coordinates and the nuisance mixture model parameters. The expectation-maximization criterion is adopted here to implement the maximum likelihood estimator. In addition, we also compute the Cramér-Rao lower bound (CRLB) for our estimation problem and present the best achievable positioning accuracy in terms of the CRLB.

Place, publisher, year, edition, pages
IEEE , 2013. 505-509 p.
Keyword [en]
Cramér-Rao lowerbound (CRLB), expectation - maximization (EM) criterion, Gaussian mixture, non-line-of-sight (NLOS), robust cooperative localization
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-121627DOI: 10.1109/SPAWC.2013.6612101ISBN: 978-1-4673-5577-3OAI: diva2:857379
IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Darmstadt, Germany, June 16-19, 2013
Available from: 2015-09-28 Created: 2015-09-28 Last updated: 2016-03-11Bibliographically approved

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Fritsche, CarstenGustafsson, Fredrik
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