Exploiting Orientation Information to Improve Range-Based Localization Accuracy
Main Author: | |
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Publication Date: | 2020 |
Other Authors: | , |
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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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array in order to estimate the azimuth angle between a reference point and a target, based on distance estimates withdrawn from integrated received signal strength (RSS) and time of arrival (TOA) observations.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 |
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reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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RCAAP |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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info@rcaap.pt |
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1833596678429474816 |