Constraints implementation for IQML and mode direction-of-arrival estimators

Detalhes bibliográficos
Autor(a) principal: Alves, Carlos Antonio [UNESP]
Data de Publicação: 2000
Outros Autores: Colares, Ricardo Fialho [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/MWSCAS.2000.951479
http://hdl.handle.net/11449/66341
Resumo: The iterative quadratic maximum likelihood IQML and the method of direction estimation MODE are well known high resolution direction-of-arrival DOA estimation methods. Their solutions lead to an optimization problem with constraints. The usual linear constraint presents a poor performance for certain DOA values. This work proposes a new linear constraint applicable to both DOA methods and compare their performance with two others: unit norm and usual linear constraint. It is shown that the proposed alternative performs better than others constraints. The resulting computational complexity is also investigated.
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spelling Constraints implementation for IQML and mode direction-of-arrival estimatorsComputational complexityConstraint theoryIterative methodsMathematical modelsMatrix algebraMaximum likelihood estimationOptimizationDirection-of-arrival estimatorsIterative quadratic maximum likelihood estimationLinear constraintSignal processingThe iterative quadratic maximum likelihood IQML and the method of direction estimation MODE are well known high resolution direction-of-arrival DOA estimation methods. Their solutions lead to an optimization problem with constraints. The usual linear constraint presents a poor performance for certain DOA values. This work proposes a new linear constraint applicable to both DOA methods and compare their performance with two others: unit norm and usual linear constraint. It is shown that the proposed alternative performs better than others constraints. The resulting computational complexity is also investigated.Department of Electrical Engineering FEIS - UNESP, Ilha Solteira, SPDepartment of Electrical Engineering FEIS - UNESP, Ilha Solteira, SPUniversidade Estadual Paulista (Unesp)Alves, Carlos Antonio [UNESP]Colares, Ricardo Fialho [UNESP]2014-05-27T11:19:59Z2014-05-27T11:19:59Z2000-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1418-1421http://dx.doi.org/10.1109/MWSCAS.2000.951479Midwest Symposium on Circuits and Systems, v. 3, p. 1418-1421.http://hdl.handle.net/11449/6634110.1109/MWSCAS.2000.951479WOS:0001720993003282-s2.0-0034464891Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMidwest Symposium on Circuits and Systemsinfo:eu-repo/semantics/openAccess2024-07-04T19:11:16Zoai:repositorio.unesp.br:11449/66341Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:20:32.294108Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Constraints implementation for IQML and mode direction-of-arrival estimators
title Constraints implementation for IQML and mode direction-of-arrival estimators
spellingShingle Constraints implementation for IQML and mode direction-of-arrival estimators
Alves, Carlos Antonio [UNESP]
Computational complexity
Constraint theory
Iterative methods
Mathematical models
Matrix algebra
Maximum likelihood estimation
Optimization
Direction-of-arrival estimators
Iterative quadratic maximum likelihood estimation
Linear constraint
Signal processing
title_short Constraints implementation for IQML and mode direction-of-arrival estimators
title_full Constraints implementation for IQML and mode direction-of-arrival estimators
title_fullStr Constraints implementation for IQML and mode direction-of-arrival estimators
title_full_unstemmed Constraints implementation for IQML and mode direction-of-arrival estimators
title_sort Constraints implementation for IQML and mode direction-of-arrival estimators
author Alves, Carlos Antonio [UNESP]
author_facet Alves, Carlos Antonio [UNESP]
Colares, Ricardo Fialho [UNESP]
author_role author
author2 Colares, Ricardo Fialho [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Alves, Carlos Antonio [UNESP]
Colares, Ricardo Fialho [UNESP]
dc.subject.por.fl_str_mv Computational complexity
Constraint theory
Iterative methods
Mathematical models
Matrix algebra
Maximum likelihood estimation
Optimization
Direction-of-arrival estimators
Iterative quadratic maximum likelihood estimation
Linear constraint
Signal processing
topic Computational complexity
Constraint theory
Iterative methods
Mathematical models
Matrix algebra
Maximum likelihood estimation
Optimization
Direction-of-arrival estimators
Iterative quadratic maximum likelihood estimation
Linear constraint
Signal processing
description The iterative quadratic maximum likelihood IQML and the method of direction estimation MODE are well known high resolution direction-of-arrival DOA estimation methods. Their solutions lead to an optimization problem with constraints. The usual linear constraint presents a poor performance for certain DOA values. This work proposes a new linear constraint applicable to both DOA methods and compare their performance with two others: unit norm and usual linear constraint. It is shown that the proposed alternative performs better than others constraints. The resulting computational complexity is also investigated.
publishDate 2000
dc.date.none.fl_str_mv 2000-12-01
2014-05-27T11:19:59Z
2014-05-27T11:19:59Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/MWSCAS.2000.951479
Midwest Symposium on Circuits and Systems, v. 3, p. 1418-1421.
http://hdl.handle.net/11449/66341
10.1109/MWSCAS.2000.951479
WOS:000172099300328
2-s2.0-0034464891
url http://dx.doi.org/10.1109/MWSCAS.2000.951479
http://hdl.handle.net/11449/66341
identifier_str_mv Midwest Symposium on Circuits and Systems, v. 3, p. 1418-1421.
10.1109/MWSCAS.2000.951479
WOS:000172099300328
2-s2.0-0034464891
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Midwest Symposium on Circuits and Systems
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1418-1421
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128349749379072

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