Radio-Wave Propagation Model for UHF Band in Different Climatic Conditions with Dyadic Green’s Function
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
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=S2179-10742015000100060 |
Resumo: | Abstract This article proposes a deterministic radio propagation model using dyadic Green's function to predict the value of the electric field. Dyadic is offered as an efficient mathematical tool which has symbolic simplicity and robustness, as well as taking account of the anisotropy of the medium. The proposed model is an important contribution for the UHF band because it considers climatic conditions by changing the constants of the medium. Most models and recommendations that include an approach for climatic conditions, are designed for satellite links, mainly Ku and Ka bands. The results obtained by simulation are compared and validated with data from a Digital Television Station measurement campaigns conducted in the Belém city in Amazon region during two seasons. The proposed model was able to provide satisfactory results by differentiating between the curves for dry and wet soil and these corroborate the measured data, (the RMS errors are between 2-5 dB in the case under study). |
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Journal of Microwaves. Optoelectronics and Electromagnetic Applications |
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Radio-Wave Propagation Model for UHF Band in Different Climatic Conditions with Dyadic Green’s FunctionClimatic ConditionsDigital TelevisionDyadic Green's functionsPropagation ModelAbstract This article proposes a deterministic radio propagation model using dyadic Green's function to predict the value of the electric field. Dyadic is offered as an efficient mathematical tool which has symbolic simplicity and robustness, as well as taking account of the anisotropy of the medium. The proposed model is an important contribution for the UHF band because it considers climatic conditions by changing the constants of the medium. Most models and recommendations that include an approach for climatic conditions, are designed for satellite links, mainly Ku and Ka bands. The results obtained by simulation are compared and validated with data from a Digital Television Station measurement campaigns conducted in the Belém city in Amazon region during two seasons. The proposed model was able to provide satisfactory results by differentiating between the curves for dry and wet soil and these corroborate the measured data, (the RMS errors are between 2-5 dB in the case under study).Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo2015-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742015000100060Journal of Microwaves, Optoelectronics and Electromagnetic Applications v.14 n.1 2015reponame:Journal of Microwaves. Optoelectronics and Electromagnetic Applicationsinstname:Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)instacron:SBMO10.1590/2179-10742015v14i1427info:eu-repo/semantics/openAccessGomes,Cristiane R.Silva,Diego K. N. daAraújo,JasmineGomes,Herminio S.Cavalcante,Gervásio P. S.eng2020-05-28T00:00:00Zoai:scielo:S2179-10742015000100060Revistahttp://www.jmoe.org/index.php/jmoe/indexONGhttps://old.scielo.br/oai/scielo-oai.php||editor_jmoe@sbmo.org.br2179-10742179-1074opendoar:2020-05-28T00:00Journal of Microwaves. Optoelectronics and Electromagnetic Applications - Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)false |
dc.title.none.fl_str_mv |
Radio-Wave Propagation Model for UHF Band in Different Climatic Conditions with Dyadic Green’s Function |
title |
Radio-Wave Propagation Model for UHF Band in Different Climatic Conditions with Dyadic Green’s Function |
spellingShingle |
Radio-Wave Propagation Model for UHF Band in Different Climatic Conditions with Dyadic Green’s Function Gomes,Cristiane R. Climatic Conditions Digital Television Dyadic Green's functions Propagation Model |
title_short |
Radio-Wave Propagation Model for UHF Band in Different Climatic Conditions with Dyadic Green’s Function |
title_full |
Radio-Wave Propagation Model for UHF Band in Different Climatic Conditions with Dyadic Green’s Function |
title_fullStr |
Radio-Wave Propagation Model for UHF Band in Different Climatic Conditions with Dyadic Green’s Function |
title_full_unstemmed |
Radio-Wave Propagation Model for UHF Band in Different Climatic Conditions with Dyadic Green’s Function |
title_sort |
Radio-Wave Propagation Model for UHF Band in Different Climatic Conditions with Dyadic Green’s Function |
author |
Gomes,Cristiane R. |
author_facet |
Gomes,Cristiane R. Silva,Diego K. N. da Araújo,Jasmine Gomes,Herminio S. Cavalcante,Gervásio P. S. |
author_role |
author |
author2 |
Silva,Diego K. N. da Araújo,Jasmine Gomes,Herminio S. Cavalcante,Gervásio P. S. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Gomes,Cristiane R. Silva,Diego K. N. da Araújo,Jasmine Gomes,Herminio S. Cavalcante,Gervásio P. S. |
dc.subject.por.fl_str_mv |
Climatic Conditions Digital Television Dyadic Green's functions Propagation Model |
topic |
Climatic Conditions Digital Television Dyadic Green's functions Propagation Model |
description |
Abstract This article proposes a deterministic radio propagation model using dyadic Green's function to predict the value of the electric field. Dyadic is offered as an efficient mathematical tool which has symbolic simplicity and robustness, as well as taking account of the anisotropy of the medium. The proposed model is an important contribution for the UHF band because it considers climatic conditions by changing the constants of the medium. Most models and recommendations that include an approach for climatic conditions, are designed for satellite links, mainly Ku and Ka bands. The results obtained by simulation are compared and validated with data from a Digital Television Station measurement campaigns conducted in the Belém city in Amazon region during two seasons. The proposed model was able to provide satisfactory results by differentiating between the curves for dry and wet soil and these corroborate the measured data, (the RMS errors are between 2-5 dB in the case under study). |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-06-01 |
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=S2179-10742015000100060 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742015000100060 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2179-10742015v14i1427 |
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 |
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.14 n.1 2015 reponame:Journal of Microwaves. Optoelectronics and Electromagnetic Applications instname:Sociedade Brasileira de Microondas e Optoeletrônica (SBMO) instacron:SBMO |
instname_str |
Sociedade Brasileira de Microondas e Optoeletrônica (SBMO) |
instacron_str |
SBMO |
institution |
SBMO |
reponame_str |
Journal of Microwaves. Optoelectronics and Electromagnetic Applications |
collection |
Journal of Microwaves. Optoelectronics and Electromagnetic Applications |
repository.name.fl_str_mv |
Journal of Microwaves. Optoelectronics and Electromagnetic Applications - Sociedade Brasileira de Microondas e Optoeletrônica (SBMO) |
repository.mail.fl_str_mv |
||editor_jmoe@sbmo.org.br |
_version_ |
1752122125795196928 |