Recurrent Algorithm for TDOA Localization in Sensor Networks

Detalhes bibliográficos
Autor(a) principal: Tovkach,Igor Olegovych
Data de Publicação: 2017
Outros Autores: Zhuk,Serhii Yakovych
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of Aerospace Technology and Management (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462017000400489
Resumo: ABSTRACT: Using the mathematical apparatus of the extended Kalman Filter, the recurrent algorithm of the passive location in sensor networks - based on the Time Difference of Arrival method in case of correlated errors of measurements - is developed. The initial estimates of Radio Frequency Sources coordinates and the correlation matrix of the vector estimation are determined based on the method of the least squares in case of 3 difference measurement distances. Efficiency analysis of recurrent adaptive algorithm and its comparison with the quadratic correction one are performed by statistical modeling. A comparison of them with the lower limit of the Cramer-Rao was carried out. The implementation of the recurrent adaptive algorithm requires 2.7 times less computational cost than the quadratic correction one.
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spelling Recurrent Algorithm for TDOA Localization in Sensor NetworksPassive locationTime Difference of Arrival methodExtended Kalman FilterRecurrent adaptive algorithmSensor networkABSTRACT: Using the mathematical apparatus of the extended Kalman Filter, the recurrent algorithm of the passive location in sensor networks - based on the Time Difference of Arrival method in case of correlated errors of measurements - is developed. The initial estimates of Radio Frequency Sources coordinates and the correlation matrix of the vector estimation are determined based on the method of the least squares in case of 3 difference measurement distances. Efficiency analysis of recurrent adaptive algorithm and its comparison with the quadratic correction one are performed by statistical modeling. A comparison of them with the lower limit of the Cramer-Rao was carried out. The implementation of the recurrent adaptive algorithm requires 2.7 times less computational cost than the quadratic correction one.Departamento de Ciência e Tecnologia Aeroespacial2017-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462017000400489Journal of Aerospace Technology and Management v.9 n.4 2017reponame:Journal of Aerospace Technology and Management (Online)instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)instacron:DCTA10.5028/jatm.v9i4.727info:eu-repo/semantics/openAccessTovkach,Igor OlegovychZhuk,Serhii Yakovycheng2017-10-17T00:00:00Zoai:scielo:S2175-91462017000400489Revistahttp://www.jatm.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||secretary@jatm.com.br2175-91461984-9648opendoar:2017-10-17T00:00Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)false
dc.title.none.fl_str_mv Recurrent Algorithm for TDOA Localization in Sensor Networks
title Recurrent Algorithm for TDOA Localization in Sensor Networks
spellingShingle Recurrent Algorithm for TDOA Localization in Sensor Networks
Tovkach,Igor Olegovych
Passive location
Time Difference of Arrival method
Extended Kalman Filter
Recurrent adaptive algorithm
Sensor network
title_short Recurrent Algorithm for TDOA Localization in Sensor Networks
title_full Recurrent Algorithm for TDOA Localization in Sensor Networks
title_fullStr Recurrent Algorithm for TDOA Localization in Sensor Networks
title_full_unstemmed Recurrent Algorithm for TDOA Localization in Sensor Networks
title_sort Recurrent Algorithm for TDOA Localization in Sensor Networks
author Tovkach,Igor Olegovych
author_facet Tovkach,Igor Olegovych
Zhuk,Serhii Yakovych
author_role author
author2 Zhuk,Serhii Yakovych
author2_role author
dc.contributor.author.fl_str_mv Tovkach,Igor Olegovych
Zhuk,Serhii Yakovych
dc.subject.por.fl_str_mv Passive location
Time Difference of Arrival method
Extended Kalman Filter
Recurrent adaptive algorithm
Sensor network
topic Passive location
Time Difference of Arrival method
Extended Kalman Filter
Recurrent adaptive algorithm
Sensor network
description ABSTRACT: Using the mathematical apparatus of the extended Kalman Filter, the recurrent algorithm of the passive location in sensor networks - based on the Time Difference of Arrival method in case of correlated errors of measurements - is developed. The initial estimates of Radio Frequency Sources coordinates and the correlation matrix of the vector estimation are determined based on the method of the least squares in case of 3 difference measurement distances. Efficiency analysis of recurrent adaptive algorithm and its comparison with the quadratic correction one are performed by statistical modeling. A comparison of them with the lower limit of the Cramer-Rao was carried out. The implementation of the recurrent adaptive algorithm requires 2.7 times less computational cost than the quadratic correction one.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462017000400489
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462017000400489
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5028/jatm.v9i4.727
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Ciência e Tecnologia Aeroespacial
publisher.none.fl_str_mv Departamento de Ciência e Tecnologia Aeroespacial
dc.source.none.fl_str_mv Journal of Aerospace Technology and Management v.9 n.4 2017
reponame:Journal of Aerospace Technology and Management (Online)
instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
instacron:DCTA
instname_str Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
instacron_str DCTA
institution DCTA
reponame_str Journal of Aerospace Technology and Management (Online)
collection Journal of Aerospace Technology and Management (Online)
repository.name.fl_str_mv Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
repository.mail.fl_str_mv ||secretary@jatm.com.br
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