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Synchronization by Two-Way Message Exchanges: Cramer-Rao Bounds, Approximate Maximum Likelihood, and Offshore Submarine Positioning
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3054-6413
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2718-0262
2010 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 58, no 4, 2351-2362 p.Article in journal (Refereed) Published
Abstract [en]

Accurate clock synchronization is vital to many applications of wireless sensor networks (WSNs). The availability of a mathematical tool that at an early design stage can provide insight into the theoretically achievable performance of the clock synchronization may accordingly be valuable in the initial design phase of the network. Therefore, the achievable clock synchronization accuracy is examined in a WSN employing a two-way message exchange model under a Gaussian assumption. The Cramer-Rao bound for the estimation of the clock parameters is derived for four different parameterizations (i. e., different nuisance parameters), reflecting different levels of prior knowledge concerning the system parameters. The results on the Cramer-Rao bound are transformed into a lower bound on the mean square error of the clock offset, a figure of merit often more relevant, characterizing the system performance. Further, by introducing a set of artificial observations through a linear combination of the observations originally obtained in the two-way message exchange, an approximate maximum likelihood estimator for the clock parameters is proposed. The estimator is shown to be of low complexity and it obeys near-optimal performance, that is, a mean square error in the vicinity of the Cramer-Rao bound. The applicability of the derived results is shown through a simulation study of an offshore engineering scenario, where a remotely operated underwater vehicle is used for operations at the seabed. The position of the vehicle is tracked using a WSN.

Place, publisher, year, edition, pages
2010. Vol. 58, no 4, 2351-2362 p.
Keyword [en]
Maximum likelihood estimation, navigation, synchronization, underwater acoustic measurements, wireless sensor network
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-28450DOI: 10.1109/TSP.2010.2040669ISI: 000275370800034Scopus ID: 2-s2.0-77949403271OAI: oai:DiVA.org:kth-28450DiVA: diva2:387386
Funder
EU, European Research Council, FP7/2007-2013
Note
QC 20110114Available from: 2011-01-14 Created: 2011-01-14 Last updated: 2011-11-21Bibliographically approved

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Skog, IsaacHändel, Peter

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