A Tutorial on Indoor Wireless Positioning with Anonymous Beacons using Random-Finite-Set Statistics

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dc.contributor.authorBishop, Adrian
dc.coverage.spatialIstanbul Turkey
dc.date.accessioned2015-12-10T22:56:50Z
dc.date.createdSeptember 26-29 2010
dc.date.issued2010
dc.date.updated2016-02-24T11:01:44Z
dc.description.abstractThe problem of global positioning using a rigorous Bayesian framework based on the theory of random finite sets and their corresponding density functions is covered in this condensed tutorial. The positioning scenario considered involves a number of anonymous beacons with known position relative to which the agent can measure its position. Since the beacons are anonymous, determining the agents position relative to a single (and even multiple in some cases) beacon is ambiguous. However, by exploiting the mobility of the agent through the environment, it is shown that it is possible to converge to an unambiguous position estimate. Random sets allow one to naturally develop a complete model of the underlying problem which accounts for the statistics of missed detections (due to signal weakness/blocking etc) and of spurious/erroneously detected beacons (due to potentially unmodeled beacons and/or reflected/multi-path signals). Following the derivation of a complete Bayesian solution, we outline a first-order statistical moment approximation, the so called probability hypothesis density filter.
dc.identifier.isbn9781424480166
dc.identifier.urihttp://hdl.handle.net/1885/60395
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2010)
dc.sourceIEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2010) proceedings
dc.subjectKeywords: Bayesian frameworks; Bayesian solution; Density functions; First-order; Global positioning; Missed detections; Position estimates; Probability hypothesis density filter; Random finite sets; Random set; Statistical moments; Wireless positioning; Bayesian n
dc.titleA Tutorial on Indoor Wireless Positioning with Anonymous Beacons using Random-Finite-Set Statistics
dc.typeConference paper
local.bibliographicCitation.lastpage232
local.bibliographicCitation.startpage228
local.contributor.affiliationBishop, Adrian, College of Engineering and Computer Science, ANU
local.contributor.authoremailu4884680@anu.edu.au
local.contributor.authoruidBishop, Adrian, u4884680
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor010203 - Calculus of Variations, Systems Theory and Control Theory
local.identifier.absseo810104 - Emerging Defence Technologies
local.identifier.ariespublicationu4334215xPUB537
local.identifier.doi10.1109/PIMRCW.2010.5670368
local.identifier.scopusID2-s2.0-78751562973
local.identifier.uidSubmittedByu4334215
local.type.statusPublished Version

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