Bias-Correction In Localization Algorithms

dc.contributor.authorJi, Yiming
dc.contributor.authorYu, Changbin (Brad)
dc.contributor.authorAnderson, Brian
dc.coverage.spatialHawaii USA
dc.date.accessioned2015-12-10T22:26:04Z
dc.date.createdNovember 30-December 4 2009
dc.date.issued2009
dc.date.updated2016-02-24T10:59:42Z
dc.description.abstractIn this paper we introduce a new approach to determine the bias in localization algorithms by mixing Taylor series and Jacobian matrices, which results in an easily calculated analytical expression for the bias. To illustrate this approach, we analyze the proposed method in two situations using localization algorithms based on distance measurements. Monte Carlo simulations verify that the proposed method is consistent with the performance of localization algorithms, which means the bias-correction method can correct the bias in most situations except when there is a collinearity problem. Although the method is analyzed in distance-based localization algorithms, it can be extended to other kinds of localization algorithms.
dc.identifier.isbn9781424441488
dc.identifier.urihttp://hdl.handle.net/1885/53760
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE Global Communications Conference, Exhibition & Industry Forum (GLOBECOM 2009)
dc.sourceProceedings of IEEE Global Communications Conference, Exhibition & Industry Forum (GLOBECOM 2009)
dc.subjectKeywords: Analytical expressions; Bias correction; Collinearity; Distance-based; Localization algorithm; Monte Carlo Simulation; New approaches; Computer simulation; Jacobian matrices; Monte Carlo methods; Sensor networks; Algorithms Bias correction; Localization; Sensor network
dc.titleBias-Correction In Localization Algorithms
dc.typeConference paper
local.bibliographicCitation.lastpage7
local.bibliographicCitation.startpage1
local.contributor.affiliationJi, Yiming, College of Engineering and Computer Science, ANU
local.contributor.affiliationYu, Changbin (Brad), College of Engineering and Computer Science, ANU
local.contributor.affiliationAnderson, Brian, College of Engineering and Computer Science, ANU
local.contributor.authoremailu4468702@anu.edu.au
local.contributor.authoruidJi, Yiming, u4468702
local.contributor.authoruidYu, Changbin (Brad), u4168516
local.contributor.authoruidAnderson, Brian, u8104642
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor100510 - Wireless Communications
local.identifier.ariespublicationu4334215xPUB282
local.identifier.doi10.1109/GLOCOM.2009.5425645
local.identifier.scopusID2-s2.0-77951568720
local.identifier.uidSubmittedByu4334215
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Ji_Bias-Correction_In_2009.pdf
Size:
297.62 KB
Format:
Adobe Portable Document Format
Back to topicon-arrow-up-solid
 
APRU
IARU
 
edX
Group of Eight Member

Acknowledgement of Country

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.


Contact ANUCopyrightDisclaimerPrivacyFreedom of Information

+61 2 6125 5111 The Australian National University, Canberra

TEQSA Provider ID: PRV12002 (Australian University) CRICOS Provider Code: 00120C ABN: 52 234 063 906