Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/76876
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dc.contributor.authorSathyan, Thuraiappahen
dc.contributor.authorHedley, Marken
dc.contributor.authorMallick, M.en
dc.date.issued2010en
dc.identifier.citationProceedings of the 13th International Conference on Information Fusion (Fusion 2010): pp.1-7en
dc.identifier.isbn9780982443811en
dc.identifier.urihttp://hdl.handle.net/2440/76876-
dc.description.abstractAccurate local positioning systems usually use a network of anchor nodes at known locations to track mobile nodes based on the measurement of the time of arrival (TOA) at anchor nodes of beacon signals transmitted by the mobile nodes. To localize the mobile node either TOA processing, where the unknown transmit time is estimated along with the node location, or time difference of arrival (TDOA) processing, where the transmit time is eliminated before estimating the node location, can be used. We show that the position error bound of both these formulations are the same by analyzing the Cramér-Rao lower bound. When processing data collected in field trials, however, we observed that the TOA processing yields better localization accuracy, and explain this behavior using differential geometry-based curvature measures that show that the TDOA cost function has greater degree of non-linearity.en
dc.description.statementofresponsibilityT. Sathyan, M. Hedley, M. Mallicken
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.rightsCopyright status unknownen
dc.source.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5711996en
dc.subjectWireless sensor networks; localization; TOAranging; pseudo-range; Cram´er-Rao lower bound; differential geometry; curvature measures of nonlinearity; TDOA.en
dc.titleAn analysis of the error characteristics of two time of arrival localization techniquesen
dc.typeConference paperen
dc.contributor.schoolSchool of Computer Scienceen
dc.contributor.conferenceInternational Conference on Information Fusion (13th : 2010 : Edinburgh, United Kingdom)en
dc.contributor.conferenceFUSION '10en
Appears in Collections:Computer Science publications

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