Skip navigation
Skip navigation

Experimental verification of bias reduction in TDOA based localization

Wei, Junming; Ji, Yiming; Yu, Changbin (Brad)

Description

In this paper, we verify a bias reduction algorithm proposed earlier through experiments. The accuracy of localization systems are influenced by many factors. Our focus is to improve the performance of localization systems by reducing the estimation bias. Many algorithms have been proposed to reduce bias, however, only simulation results are presented which only demonstrate the algorithms with ideal or generated synthetic data, so their performance in practical situation is unknown. To address...[Show more]

dc.contributor.authorWei, Junming
dc.contributor.authorJi, Yiming
dc.contributor.authorYu, Changbin (Brad)
dc.coverage.spatialTaichung China
dc.date.accessioned2015-12-13T22:31:32Z
dc.date.createdJune 18-20 2014
dc.identifier.isbn9781479928378
dc.identifier.urihttp://hdl.handle.net/1885/75297
dc.description.abstractIn this paper, we verify a bias reduction algorithm proposed earlier through experiments. The accuracy of localization systems are influenced by many factors. Our focus is to improve the performance of localization systems by reducing the estimation bias. Many algorithms have been proposed to reduce bias, however, only simulation results are presented which only demonstrate the algorithms with ideal or generated synthetic data, so their performance in practical situation is unknown. To address this problem we conducted real-world experiments. The experimental data is obtained from a TDOA based localization system developed using Software Defined Radios. The results demonstrate that the proposed bias reduction algorithm can reduce the bias effectively, thus greatly enhancing the localization accuracy of the system.
dc.publisherIEEE Computer Society
dc.relation.ispartofseries11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
dc.sourceIEEE International Conference on Control and Automation, ICCA
dc.titleExperimental verification of bias reduction in TDOA based localization
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2014
local.identifier.absfor080203 - Computational Logic and Formal Languages
local.identifier.absfor090600 - ELECTRICAL AND ELECTRONIC ENGINEERING
local.identifier.ariespublicationU3488905xPUB4559
local.type.statusPublished Version
local.contributor.affiliationWei, Junming, College of Engineering and Computer Science, ANU
local.contributor.affiliationJi, Yiming, College of Engineering and Computer Science, ANU
local.contributor.affiliationYu, Changbin (Brad), College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage7
local.bibliographicCitation.lastpage12
local.identifier.doi10.1109/ICCA.2014.6870887
dc.date.updated2015-12-11T09:01:19Z
local.identifier.scopusID2-s2.0-84906562357
CollectionsANU Research Publications

Download

File Description SizeFormat Image
01_Wei_Experimental_verification_of_2014.pdf1.63 MBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator