Estimating directional data from network topology for improving tracking performance

Bibliographic Details
Main Author: Tomic, Slavisa
Publication Date: 2019
Other Authors: Beko, Marko, Dinis, Rui, Montezuma, Paulo
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/104745
Summary: UID/MULTI/04111/0213 UID/MULTI/04111/0216 PCIF/SSI/0102/2017 UID/EEA/50008/2019 PES3N POCI-01-0145-FEDER-030629 Grant IF/00325/2015
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network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Estimating directional data from network topology for improving tracking performanceAngle of arrival (AOA)Kalman filter (KF)Non-line-of-sight (NLOS)Received signal strength (RSS)Target trackingTime of arrival (TOA)InstrumentationComputer Networks and CommunicationsControl and OptimizationUID/MULTI/04111/0213 UID/MULTI/04111/0216 PCIF/SSI/0102/2017 UID/EEA/50008/2019 PES3N POCI-01-0145-FEDER-030629 Grant IF/00325/2015This work proposes a novel approach for tracking a moving target in non-line-of-sight (NLOS) environments based on range estimates extracted from received signal strength (RSS) and time of arrival (TOA) measurements. By exploiting the known architecture of reference points to act as an improper antenna array and the range estimates, angle of arrival (AOA) of the signal emitted by the target is first estimated at each reference point. We then show how to take advantage of these angle estimates to convert the problem into a more convenient, polar space, where a linearization of the measurement models is easily achieved. The derived linear model serves as the main building block on top of which prior knowledge acquired during the movement of the target is incorporated by adapting a Kalman filter (KF). The performance of the proposed approach was assessed through computer simulations, which confirmed its effectiveness in combating the negative effect of NLOS bias and superiority in comparison with its naive counterpart, which does not take prior knowledge into consideration.CTS - Centro de Tecnologia e SistemasUNINOVA-Instituto de Desenvolvimento de Novas TecnologiasDEE2010-A1 TelecomunicaçõesDEE - Departamento de Engenharia Electrotécnica e de ComputadoresRUNTomic, SlavisaBeko, MarkoDinis, RuiMontezuma, Paulo2020-09-25T22:22:04Z2019-05-202019-05-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/104745eng2224-2708PURE: 18871301https://doi.org/10.3390/jsan8020030info: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:RCAAP2024-05-22T17:47:50Zoai:run.unl.pt:10362/104745Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:18:56.200381Repositórios 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 Estimating directional data from network topology for improving tracking performance
title Estimating directional data from network topology for improving tracking performance
spellingShingle Estimating directional data from network topology for improving tracking performance
Tomic, Slavisa
Angle of arrival (AOA)
Kalman filter (KF)
Non-line-of-sight (NLOS)
Received signal strength (RSS)
Target tracking
Time of arrival (TOA)
Instrumentation
Computer Networks and Communications
Control and Optimization
title_short Estimating directional data from network topology for improving tracking performance
title_full Estimating directional data from network topology for improving tracking performance
title_fullStr Estimating directional data from network topology for improving tracking performance
title_full_unstemmed Estimating directional data from network topology for improving tracking performance
title_sort Estimating directional data from network topology for improving tracking performance
author Tomic, Slavisa
author_facet Tomic, Slavisa
Beko, Marko
Dinis, Rui
Montezuma, Paulo
author_role author
author2 Beko, Marko
Dinis, Rui
Montezuma, Paulo
author2_role author
author
author
dc.contributor.none.fl_str_mv CTS - Centro de Tecnologia e Sistemas
UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
DEE2010-A1 Telecomunicações
DEE - Departamento de Engenharia Electrotécnica e de Computadores
RUN
dc.contributor.author.fl_str_mv Tomic, Slavisa
Beko, Marko
Dinis, Rui
Montezuma, Paulo
dc.subject.por.fl_str_mv Angle of arrival (AOA)
Kalman filter (KF)
Non-line-of-sight (NLOS)
Received signal strength (RSS)
Target tracking
Time of arrival (TOA)
Instrumentation
Computer Networks and Communications
Control and Optimization
topic Angle of arrival (AOA)
Kalman filter (KF)
Non-line-of-sight (NLOS)
Received signal strength (RSS)
Target tracking
Time of arrival (TOA)
Instrumentation
Computer Networks and Communications
Control and Optimization
description UID/MULTI/04111/0213 UID/MULTI/04111/0216 PCIF/SSI/0102/2017 UID/EEA/50008/2019 PES3N POCI-01-0145-FEDER-030629 Grant IF/00325/2015
publishDate 2019
dc.date.none.fl_str_mv 2019-05-20
2019-05-20T00:00:00Z
2020-09-25T22:22:04Z
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/10362/104745
url http://hdl.handle.net/10362/104745
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2224-2708
PURE: 18871301
https://doi.org/10.3390/jsan8020030
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
instacron:RCAAP
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
_version_ 1833596607388450816

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