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Modified leaky LMS algorithms applied to satellite positioning

Montillet, Jean-Philippe; Yu, Kegen

Description

With the recent advances in the theory of fractional Brownian motion (fBm), this model is used to describe the position coordinate estimates of Global Navigation Satellite System (GNSS) receivers that have long-range dependencies. The Modified Leaky Least Mean Squares (ML-LMS) algorithms are proposed to filter the long time series of the position coordinate estimates, which uses the Hurst parameter estimates to update the filter tap weights. Simulation results using field measurements...[Show more]

dc.contributor.authorMontillet, Jean-Philippe
dc.contributor.authorYu, Kegen
dc.coverage.spatialVancouver, Canada
dc.date.accessioned2015-12-10T22:40:15Z
dc.date.createdSeptember 14-17 2014
dc.identifier.isbn9781479944491
dc.identifier.urihttp://hdl.handle.net/1885/57399
dc.description.abstractWith the recent advances in the theory of fractional Brownian motion (fBm), this model is used to describe the position coordinate estimates of Global Navigation Satellite System (GNSS) receivers that have long-range dependencies. The Modified Leaky Least Mean Squares (ML-LMS) algorithms are proposed to filter the long time series of the position coordinate estimates, which uses the Hurst parameter estimates to update the filter tap weights. Simulation results using field measurements demonstrate that these proposed modified leaky least mean squares algorithms can outperform the classical LMS filter considerably in terms of accuracy (mean squared error) and convergence. We also deal with the case study where our proposed algorithms outperform the leaky LMS. The algorithms are tested on simulated and real measurements.
dc.publisherIEEE
dc.relation.ispartofseries80th IEEE Vehicular Technology Conference, VTC 2014
dc.sourceIEEE Vehicular Technology Conference
dc.titleModified leaky LMS algorithms applied to satellite positioning
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2014
local.identifier.absfor090902 - Geodesy
local.identifier.ariespublicationa383154xPUB399
local.type.statusPublished Version
local.contributor.affiliationMontillet, Jean-Philippe, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationYu, Kegen, Wuhan University
local.description.embargo2037-12-31
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage5
local.identifier.doi10.1109/VTCFall.2014.6966056
dc.date.updated2015-12-09T10:57:33Z
local.identifier.scopusID2-s2.0-84919444312
CollectionsANU Research Publications

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