Cramér-Rao bound for parameter estimation in sensor arrays with mutual coupling

Autores
Pascual, Juan Pablo; Von Ellenrieder, Nicolás; Muravchik, Carlos H.
Año de publicación
2013
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The mutual coupling effect in a sensor array must be taken into account, since it degrades significantly the performance of the well-known signal direction finding algorithms. In this work, we derived the Cramér-Rao bound on the estimation of the mutual coupling coefficients and of the signal direction of arrival, when the signal covariance matrix and the noise variance are unknown. The Cramér-Rao bound plays an important role in estimation problems, since it allow us to study the performance of estimation methods under certain conditions. We use the calculated bounds to evaluate the performance of an estimation method of the mentioned parameters. This approach uses the multiple signal classification algorithm on an enlarged sensor array with auxiliary elements, whose number depends on the number of mutual coupling coefficients.
Fil: Pascual, Juan Pablo. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Von Ellenrieder, Nicolás. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Muravchik, Carlos H.. Universidad Nacional de La Plata; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina
Materia
Cramér-Rao Bound
Sensor Array
Mutual Coupling
Doa Estimation
Music
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/13808

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network_name_str CONICET Digital (CONICET)
spelling Cramér-Rao bound for parameter estimation in sensor arrays with mutual couplingPascual, Juan PabloVon Ellenrieder, NicolásMuravchik, Carlos H.Cramér-Rao BoundSensor ArrayMutual CouplingDoa EstimationMusichttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The mutual coupling effect in a sensor array must be taken into account, since it degrades significantly the performance of the well-known signal direction finding algorithms. In this work, we derived the Cramér-Rao bound on the estimation of the mutual coupling coefficients and of the signal direction of arrival, when the signal covariance matrix and the noise variance are unknown. The Cramér-Rao bound plays an important role in estimation problems, since it allow us to study the performance of estimation methods under certain conditions. We use the calculated bounds to evaluate the performance of an estimation method of the mentioned parameters. This approach uses the multiple signal classification algorithm on an enlarged sensor array with auxiliary elements, whose number depends on the number of mutual coupling coefficients.Fil: Pascual, Juan Pablo. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Von Ellenrieder, Nicolás. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Muravchik, Carlos H.. Universidad Nacional de La Plata; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; ArgentinaInstitute Of Electrical And Electronics Engineers2013-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/13808Pascual, Juan Pablo; Von Ellenrieder, Nicolás; Muravchik, Carlos H.; Cramér-Rao bound for parameter estimation in sensor arrays with mutual coupling ; Institute Of Electrical And Electronics Engineers; Ieee Latin America Transactions; 11; 1; 4-2013; 91-961548-0992spainfo:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2013.6502784info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6502784/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:52:10Zoai:ri.conicet.gov.ar:11336/13808instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:52:10.434CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Cramér-Rao bound for parameter estimation in sensor arrays with mutual coupling
title Cramér-Rao bound for parameter estimation in sensor arrays with mutual coupling
spellingShingle Cramér-Rao bound for parameter estimation in sensor arrays with mutual coupling
Pascual, Juan Pablo
Cramér-Rao Bound
Sensor Array
Mutual Coupling
Doa Estimation
Music
title_short Cramér-Rao bound for parameter estimation in sensor arrays with mutual coupling
title_full Cramér-Rao bound for parameter estimation in sensor arrays with mutual coupling
title_fullStr Cramér-Rao bound for parameter estimation in sensor arrays with mutual coupling
title_full_unstemmed Cramér-Rao bound for parameter estimation in sensor arrays with mutual coupling
title_sort Cramér-Rao bound for parameter estimation in sensor arrays with mutual coupling
dc.creator.none.fl_str_mv Pascual, Juan Pablo
Von Ellenrieder, Nicolás
Muravchik, Carlos H.
author Pascual, Juan Pablo
author_facet Pascual, Juan Pablo
Von Ellenrieder, Nicolás
Muravchik, Carlos H.
author_role author
author2 Von Ellenrieder, Nicolás
Muravchik, Carlos H.
author2_role author
author
dc.subject.none.fl_str_mv Cramér-Rao Bound
Sensor Array
Mutual Coupling
Doa Estimation
Music
topic Cramér-Rao Bound
Sensor Array
Mutual Coupling
Doa Estimation
Music
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The mutual coupling effect in a sensor array must be taken into account, since it degrades significantly the performance of the well-known signal direction finding algorithms. In this work, we derived the Cramér-Rao bound on the estimation of the mutual coupling coefficients and of the signal direction of arrival, when the signal covariance matrix and the noise variance are unknown. The Cramér-Rao bound plays an important role in estimation problems, since it allow us to study the performance of estimation methods under certain conditions. We use the calculated bounds to evaluate the performance of an estimation method of the mentioned parameters. This approach uses the multiple signal classification algorithm on an enlarged sensor array with auxiliary elements, whose number depends on the number of mutual coupling coefficients.
Fil: Pascual, Juan Pablo. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Von Ellenrieder, Nicolás. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Muravchik, Carlos H.. Universidad Nacional de La Plata; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina
description The mutual coupling effect in a sensor array must be taken into account, since it degrades significantly the performance of the well-known signal direction finding algorithms. In this work, we derived the Cramér-Rao bound on the estimation of the mutual coupling coefficients and of the signal direction of arrival, when the signal covariance matrix and the noise variance are unknown. The Cramér-Rao bound plays an important role in estimation problems, since it allow us to study the performance of estimation methods under certain conditions. We use the calculated bounds to evaluate the performance of an estimation method of the mentioned parameters. This approach uses the multiple signal classification algorithm on an enlarged sensor array with auxiliary elements, whose number depends on the number of mutual coupling coefficients.
publishDate 2013
dc.date.none.fl_str_mv 2013-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/13808
Pascual, Juan Pablo; Von Ellenrieder, Nicolás; Muravchik, Carlos H.; Cramér-Rao bound for parameter estimation in sensor arrays with mutual coupling ; Institute Of Electrical And Electronics Engineers; Ieee Latin America Transactions; 11; 1; 4-2013; 91-96
1548-0992
url http://hdl.handle.net/11336/13808
identifier_str_mv Pascual, Juan Pablo; Von Ellenrieder, Nicolás; Muravchik, Carlos H.; Cramér-Rao bound for parameter estimation in sensor arrays with mutual coupling ; Institute Of Electrical And Electronics Engineers; Ieee Latin America Transactions; 11; 1; 4-2013; 91-96
1548-0992
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2013.6502784
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6502784/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute Of Electrical And Electronics Engineers
publisher.none.fl_str_mv Institute Of Electrical And Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397