Improved NLOS Error Mitigation Based on LTS Algorithm

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dc.contributor.author Khodjaev, Jasurbek
dc.contributor.author Tedesco, Salvatore
dc.contributor.author O'Flynn, Brendan
dc.date.accessioned 2020-03-16T16:06:34Z
dc.date.available 2020-03-16T16:06:34Z
dc.date.issued 2016
dc.identifier.citation Khodjaev, J., Tedesco, S., and O'Flynn, Brendan (2016) 'Progress In Electromagnetics Research Letters', Progress In Electromagnetics Research Letters, 58, pp. 133-139. doi: 10.2528/PIERL15100103 en
dc.identifier.volume 58 en
dc.identifier.startpage 133 en
dc.identifier.endpage 139 en
dc.identifier.issn 1937-6480
dc.identifier.uri http://hdl.handle.net/10468/9766
dc.identifier.doi 10.2528/PIERL15100103 en
dc.description.abstract A new improved Least Trimmed Squares (LTS) based algorithm for Non-line-of sight (NLOS) error mitigation is proposed for indoor localisation systems. The conventional LTS algorithm has hard threshold to decide the final set of base stations (BSs) to be used in position calculations. When the number of Line of Sight (LOS) base stations is more than the number of NLOS BSs the conventional LTS algorithm does not include some of them in position estimation due to principle of LTS algorithm or under heavy NLOS environments it cannot separate least biased BSs to use. To improve the performance of the conventional LTS algorithm in dynamic environments we have proposed a method that selects BSs for position calculation based on ordered residuals without discarding half of the BSs. By choosing a set of BSs which have least residual errors among all combinations as a final set for position calculation, we were able to decrease the localisation error of the system in dynamic environments. We demonstrate the robustness of the new improved method based on computer simulations under realistic channel environments. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Electromagnetics Academy en
dc.relation.uri http://www.jpier.org/PIERL/pier.php?paper=15100103
dc.rights © 2016 en
dc.subject Location based services en
dc.subject Localisation algorithm en
dc.subject Least Trimmed Squares (LTS) en
dc.subject LTS algorithm en
dc.title Improved NLOS Error Mitigation Based on LTS Algorithm en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Salvatore Tedesco, Tyndall Micronano Electronics, University College Cork, Cork, Ireland. +353-21-490-3000 Email: salvatore.tedesco@tyndall.ie en
dc.internal.availability Full text available en
dc.date.updated 2020-03-16T15:58:11Z
dc.description.version Published Version en
dc.internal.rssid 506561701
dc.contributor.funder Seventh Framework Programme en
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder European Regional Development Fund en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Progress In Electromagnetics Research Letters en
dc.internal.copyrightchecked Yes
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress salvatore.tedesco@tyndall.ie en
dc.internal.IRISemailaddress brendan.oflynn@tyndall.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/ en
dc.relation.project info:eu-repo/grantAgreement/EC/FP7::SP1::SP1-JTI/621272/EU/Sensor technologies enhanced safety and security of buildings and its occupants/SAFESENS en


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