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Optimal Range-Difference-Based Localization Considering Geometrical Constraints
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
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2008 (English)In: IEEE Journal of Oceanic Engineering, ISSN 0364-9059, Vol. 33, no 3, 289-301 p.Article in journal (Refereed) Published
Abstract [en]

This paper proposes a new type of algorithm aimed at finding the traditional maximum-likelihood (TML) estimate of the position of a target given time-difference-of-arrival (TDOA) information, contaminated by noise. The novelty lies in the fact that a performance index, akin to but not identical with that in maximum likelihood (ML), is a minimized subject to a number of constraints, which flow from geometric constraints inherent in the underlying problem. The minimization is in a higher dimensional space than for TML, and has the advantage that the algorithm can be very straightforwardly and systematically initialized. Simulation evidence shows that failure to converge to a solution of the localization problem near the true value is less likely to occur with this new algorithm than with TML. This makes it attractive to use in adverse geometric situations.

Place, publisher, year, edition, pages
2008. Vol. 33, no 3, 289-301 p.
Keyword [en]
Localization, range difference, sensor networks, target tracking, time-difference-of-arrival (TDOA)
National Category
Oceanography, Hydrology, Water Resources Computer and Information Science
URN: urn:nbn:se:kth:diva-33152DOI: 10.1109/JOE.2008.926960ISI: 000262861400006ScopusID: 2-s2.0-59649088152OAI: diva2:413745
QC 20110429Available from: 2011-04-29 Created: 2011-04-29 Last updated: 2011-04-29Bibliographically approved

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Bishop, Adrian N.
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Computer Vision and Active Perception, CVAP
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Oceanography, Hydrology, Water ResourcesComputer and Information Science

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ReferencesLink to record
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