Recurrent Algorithm for TDOA Localization in Sensor Networks
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | |
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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Journal of Aerospace Technology and Management (Online) |
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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 |
_version_ |
1754732531684474880 |