Estimation and Mapping of the Received Power Level of Digital Signals TV Using Spatial Interpolation Methods

Detalhes bibliográficos
Autor(a) principal: Lima,Karoline R.
Data de Publicação: 2022
Outros Autores: Andrade,Humberto D. de, Sombra,Antônio S. B., Sousa,Matheus E. T., Lima,José F. de, Fontgalland,Glauco, Silva,Isaac B. T. da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of Microwaves. Optoelectronics and Electromagnetic Applications
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742022000200305
Resumo: Abstract The signal digitization process of the open television system is still in progress, therefore, the study of the digital signal propagation has great importance so that broadcasters can develop and improve the transmission service. The field measurement of digital signal parameters is one of the most reliable means to analyze the signal propagation in a given area. In this work, received power measurements of a TV station digital signal in the city of Mossoró, Rio Grande do Norte, Brazil were performed. The objective is to implement interpolation methods and identify which is the most suitable for the spatial representation of power data in this region through the Mean Error (ME) and Root Mean Squared Error (RMSE) evaluation metrics. A good representation of the received power level contributes to the mapping of greater and lesser intensity of the digital signal in the region. The implementation of the interpolation methods was performed in Surfer® software (Golden Software, LLC), which provides the cross-validation report with the ME and RMSE values associated with each method. The Ordinary Kriging method with exponential variogram model obtained the lowest RMSE value (7.6083) and, therefore, the most adequate estimates.
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spelling Estimation and Mapping of the Received Power Level of Digital Signals TV Using Spatial Interpolation MethodsCross validationReceived power of digital signal televisionReceived signal power measurementsSpatial interpolation methodsAbstract The signal digitization process of the open television system is still in progress, therefore, the study of the digital signal propagation has great importance so that broadcasters can develop and improve the transmission service. The field measurement of digital signal parameters is one of the most reliable means to analyze the signal propagation in a given area. In this work, received power measurements of a TV station digital signal in the city of Mossoró, Rio Grande do Norte, Brazil were performed. The objective is to implement interpolation methods and identify which is the most suitable for the spatial representation of power data in this region through the Mean Error (ME) and Root Mean Squared Error (RMSE) evaluation metrics. A good representation of the received power level contributes to the mapping of greater and lesser intensity of the digital signal in the region. The implementation of the interpolation methods was performed in Surfer® software (Golden Software, LLC), which provides the cross-validation report with the ME and RMSE values associated with each method. The Ordinary Kriging method with exponential variogram model obtained the lowest RMSE value (7.6083) and, therefore, the most adequate estimates.Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo2022-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742022000200305Journal of Microwaves, Optoelectronics and Electromagnetic Applications v.21 n.2 2022reponame:Journal of Microwaves. Optoelectronics and Electromagnetic Applicationsinstname:Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)instacron:SBMO10.1590/2179-10742022v21i2258350info:eu-repo/semantics/openAccessLima,Karoline R.Andrade,Humberto D. deSombra,Antônio S. B.Sousa,Matheus E. T.Lima,José F. deFontgalland,GlaucoSilva,Isaac B. T. daeng2022-06-02T00:00:00Zoai:scielo:S2179-10742022000200305Revistahttp://www.jmoe.org/index.php/jmoe/indexONGhttps://old.scielo.br/oai/scielo-oai.php||editor_jmoe@sbmo.org.br2179-10742179-1074opendoar:2022-06-02T00:00Journal of Microwaves. Optoelectronics and Electromagnetic Applications - Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)false
dc.title.none.fl_str_mv Estimation and Mapping of the Received Power Level of Digital Signals TV Using Spatial Interpolation Methods
title Estimation and Mapping of the Received Power Level of Digital Signals TV Using Spatial Interpolation Methods
spellingShingle Estimation and Mapping of the Received Power Level of Digital Signals TV Using Spatial Interpolation Methods
Lima,Karoline R.
Cross validation
Received power of digital signal television
Received signal power measurements
Spatial interpolation methods
title_short Estimation and Mapping of the Received Power Level of Digital Signals TV Using Spatial Interpolation Methods
title_full Estimation and Mapping of the Received Power Level of Digital Signals TV Using Spatial Interpolation Methods
title_fullStr Estimation and Mapping of the Received Power Level of Digital Signals TV Using Spatial Interpolation Methods
title_full_unstemmed Estimation and Mapping of the Received Power Level of Digital Signals TV Using Spatial Interpolation Methods
title_sort Estimation and Mapping of the Received Power Level of Digital Signals TV Using Spatial Interpolation Methods
author Lima,Karoline R.
author_facet Lima,Karoline R.
Andrade,Humberto D. de
Sombra,Antônio S. B.
Sousa,Matheus E. T.
Lima,José F. de
Fontgalland,Glauco
Silva,Isaac B. T. da
author_role author
author2 Andrade,Humberto D. de
Sombra,Antônio S. B.
Sousa,Matheus E. T.
Lima,José F. de
Fontgalland,Glauco
Silva,Isaac B. T. da
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Lima,Karoline R.
Andrade,Humberto D. de
Sombra,Antônio S. B.
Sousa,Matheus E. T.
Lima,José F. de
Fontgalland,Glauco
Silva,Isaac B. T. da
dc.subject.por.fl_str_mv Cross validation
Received power of digital signal television
Received signal power measurements
Spatial interpolation methods
topic Cross validation
Received power of digital signal television
Received signal power measurements
Spatial interpolation methods
description Abstract The signal digitization process of the open television system is still in progress, therefore, the study of the digital signal propagation has great importance so that broadcasters can develop and improve the transmission service. The field measurement of digital signal parameters is one of the most reliable means to analyze the signal propagation in a given area. In this work, received power measurements of a TV station digital signal in the city of Mossoró, Rio Grande do Norte, Brazil were performed. The objective is to implement interpolation methods and identify which is the most suitable for the spatial representation of power data in this region through the Mean Error (ME) and Root Mean Squared Error (RMSE) evaluation metrics. A good representation of the received power level contributes to the mapping of greater and lesser intensity of the digital signal in the region. The implementation of the interpolation methods was performed in Surfer® software (Golden Software, LLC), which provides the cross-validation report with the ME and RMSE values associated with each method. The Ordinary Kriging method with exponential variogram model obtained the lowest RMSE value (7.6083) and, therefore, the most adequate estimates.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742022000200305
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-10742022v21i2258350
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dc.publisher.none.fl_str_mv Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
publisher.none.fl_str_mv Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
dc.source.none.fl_str_mv Journal of Microwaves, Optoelectronics and Electromagnetic Applications v.21 n.2 2022
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reponame_str Journal of Microwaves. Optoelectronics and Electromagnetic Applications
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repository.name.fl_str_mv Journal of Microwaves. Optoelectronics and Electromagnetic Applications - Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)
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