Exploiting Orientation Information to Improve Range-Based Localization Accuracy

Bibliographic Details
Main Author: Tomic, Slavisa
Publication Date: 2020
Other Authors: Beko, Marko, Tuba, Milan
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/119431
Summary: Funding Information: This work supported in part by the Fundação para a Ciência e a Tecnologia under Project IF/00325/2015, Project foRESTER PCIF/SSI/0102/2017, and Project UIDB/04111/2020, and in part by the Universidade Lusófona/ILIND internal project TESLA.
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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling Exploiting Orientation Information to Improve Range-Based Localization AccuracyAzimuth angleNon-line-of-sight (NLOS)Received signal strength (RSS)Time of arrival (TOA)Weighted least squares (WLS)Computer Science(all)Materials Science(all)Engineering(all)Funding Information: This work supported in part by the Fundação para a Ciência e a Tecnologia under Project IF/00325/2015, Project foRESTER PCIF/SSI/0102/2017, and Project UIDB/04111/2020, and in part by the Universidade Lusófona/ILIND internal project TESLA.This work addresses target localization problem in precarious surroundings where possibly no links are line of sight. It exploits the known architecture of available reference points to act as an irregular antenna array in order to estimate the azimuth angle between a reference point and a target, based on distance estimates withdrawn from integrated received signal strength (RSS) and time of arrival (TOA) observations. These fictitious azimuth angle observations are then used to linearize the measurement models, which triggers effortless derivation of a new estimator in a closed-form. It is shown here that, by using fixed network geometry in which target orientation with respect to a line formed by a pair of anchors can be correctly estimated, the localization performance can be significantly enhanced. The new approach is validated through computer simulations, which corroborate our intuition of profiting from inherent information within a network.CTS - Centro de Tecnologia e SistemasUNINOVA-Instituto de Desenvolvimento de Novas TecnologiasRUNTomic, SlavisaBeko, MarkoTuba, Milan2021-06-16T22:21:05Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/119431engPURE: 31997906https://doi.org/10.1109/ACCESS.2020.2978298info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:53:54Zoai:run.unl.pt:10362/119431Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:24:59.665802Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Exploiting Orientation Information to Improve Range-Based Localization Accuracy
title Exploiting Orientation Information to Improve Range-Based Localization Accuracy
spellingShingle Exploiting Orientation Information to Improve Range-Based Localization Accuracy
Tomic, Slavisa
Azimuth angle
Non-line-of-sight (NLOS)
Received signal strength (RSS)
Time of arrival (TOA)
Weighted least squares (WLS)
Computer Science(all)
Materials Science(all)
Engineering(all)
title_short Exploiting Orientation Information to Improve Range-Based Localization Accuracy
title_full Exploiting Orientation Information to Improve Range-Based Localization Accuracy
title_fullStr Exploiting Orientation Information to Improve Range-Based Localization Accuracy
title_full_unstemmed Exploiting Orientation Information to Improve Range-Based Localization Accuracy
title_sort Exploiting Orientation Information to Improve Range-Based Localization Accuracy
author Tomic, Slavisa
author_facet Tomic, Slavisa
Beko, Marko
Tuba, Milan
author_role author
author2 Beko, Marko
Tuba, Milan
author2_role author
author
dc.contributor.none.fl_str_mv CTS - Centro de Tecnologia e Sistemas
UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
RUN
dc.contributor.author.fl_str_mv Tomic, Slavisa
Beko, Marko
Tuba, Milan
dc.subject.por.fl_str_mv Azimuth angle
Non-line-of-sight (NLOS)
Received signal strength (RSS)
Time of arrival (TOA)
Weighted least squares (WLS)
Computer Science(all)
Materials Science(all)
Engineering(all)
topic Azimuth angle
Non-line-of-sight (NLOS)
Received signal strength (RSS)
Time of arrival (TOA)
Weighted least squares (WLS)
Computer Science(all)
Materials Science(all)
Engineering(all)
description Funding Information: This work supported in part by the Fundação para a Ciência e a Tecnologia under Project IF/00325/2015, Project foRESTER PCIF/SSI/0102/2017, and Project UIDB/04111/2020, and in part by the Universidade Lusófona/ILIND internal project TESLA.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2021-06-16T22:21:05Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/119431
url http://hdl.handle.net/10362/119431
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv PURE: 31997906
https://doi.org/10.1109/ACCESS.2020.2978298
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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