1. Identificação | |
Tipo de Referência | Artigo em Evento (Conference Proceedings) |
Site | mtc-m16b.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Repositório | sid.inpe.br/mtc-m17@80/2007/10.22.18.38 (acesso restrito) |
Última Atualização | 2007:11.13.12.35.59 (UTC) administrator |
Repositório de Metadados | sid.inpe.br/mtc-m17@80/2007/10.22.18.38.02 |
Última Atualização dos Metadados | 2021:02.10.19.06.11 (UTC) administrator |
Chave Secundária | INPE-14959-PRE/9871 |
Chave de Citação | DalbeloAlveMoniSapu:2007:EvGGPo |
Título | ZTD Dynamic modeling versus hopfield model: evaluation in GGPS positioning |
Formato | On-line |
Ano | 2007 |
Data Secundária | 20070522 |
Data de Acesso | 26 abr. 2024 |
Tipo Secundário | PRE CI |
Número de Arquivos | 1 |
Tamanho | 712 KiB |
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2. Contextualização | |
Autor | 1 Dalbelo, Luiz Fernando Antonio 2 Alves, D. B. 3 Monico, João Francisco Galera 4 Sapucci, Luiz Fernando |
Grupo | 1 2 3 4 DMD-INPE-MCT-BR |
Afiliação | 1 Universidade Estadual Paulista-Faculdade de Ciências e Tecnologia, Presidente Prudente, SP , Brazil 2 Universidade Estadual Paulista-Faculdade de Ciências e Tecnologia, Presidente Prudente, SP , Brazil 3 Universidade Estadual Paulista-Faculdade de Ciências e Tecnologia, Presidente Prudente, SP , Brazil 4 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 2 3 4 lsapucci@cptec.inpe.br |
Endereço de e-Mail | deicy@cptec.inpe.br |
Nome do Evento | Joint Assembly. |
Localização do Evento | Acapulco, México |
Data | 22-25 May |
Editora (Publisher) | AGU |
Cidade da Editora | Acapulco, México |
Título do Livro | Anais |
Tipo Terciário | Poster Session |
Organização | AGU |
Histórico (UTC) | 2007-11-23 17:26:36 :: deicy@cptec.inpe.br -> administrator :: 2021-02-10 19:06:11 :: administrator -> deicy@cptec.inpe.br :: 2007 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Palavras-Chave | numerical weather prediction models atmospheric sciences zenithal tropospheric |
Resumo | A positioning technique that has been received a great attention in the last years it is the Differential GPS (DGPS). This method has been used in several applications such as: navigation, surveying, precision agriculture and others. In the basic concept of DGPS it is assumed a high correlation of errors involved between base and rover stations, considering that the two stations are close together. This way, it is possible to generate corrections for the pseudorange. DGPS provides a reasonable accuracy for short baselines, which is degraded with distance growth due to spatial decorrelation of the errors (ionosphere effect, troposphere refraction and satellites orbit errors), consequently, the method efficiency is reduced. Therefore, to obtain a better positioning quality, an adequate modeling of these errors is indispensable. The aim of this paper is to evaluate the performance of the Numerical Weather Prediction (NWP) model, denominated here dynamic modeling, and the Hopfield empirical model for reducing Zenithal Tropospheric Delay (ZTD) in the DGPS context. The dynamic modeling used is from Center for Weather Forecasting and Climate Studies of the National Institute for Space Research (CPTEC/INPE), which has operationally available ZTD prediction for South American region (available in: http:satelite.cptec.inpe.br/htmldocs/ztd/zenital.htm). Some experiments were carried out using an in-house software developed at FCT/UNESP and data of different GPS baselines lengths: 75, 165, 237 and 443 km. The stations used are from RBMC (Brazilian Continuous Network of Monitoring GPS Satellites) (PPTE, PARA stations) and from GPS Active Network of West of São Paulo State (SEM2, OURI, ROSA stations). The station SEM2 was considered base station. The stations PPTE, OURI, ROSA and PARA were considered rovers. It was processed 2 days of data, December 29 and 30, 2007. The improvement obtained in DGPS using dynamic modeling for the 75, 165, 237 and 443 km baseline was on average 0.35%, 3%, 2.8% and 12.1%, respectively, for the two days in relation to the Hopfield model. These results show that in all evaluated baseline the dynamic modeling has been improved the results if compared with Hopfield empirical model. It is important to verify that with the baseline growth the improvement was very significant. |
Área | MET |
Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > ZTD Dynamic modeling... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | não têm arquivos |
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4. Condições de acesso e uso | |
Idioma | en |
Arquivo Alvo | 14-Dalbelo_el.al_AGU2007_APRESENT.pdf |
Grupo de Usuários | administrator deicy@cptec.inpe.br |
Visibilidade | shown |
Detentor da Cópia | SID/SCD |
Permissão de Leitura | deny from all and allow from 150.163 |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/43SKC35 |
Acervo Hospedeiro | lcp.inpe.br/ignes/2004/02.12.18.39 cptec.inpe.br/walmeida/2003/04.25.17.12 |
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6. Notas | |
Campos Vazios | archivingpolicy archivist callnumber copyright creatorhistory descriptionlevel dissemination documentstage doi edition editor identifier isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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7. Controle da descrição | |
e-Mail (login) | deicy@cptec.inpe.br |
atualizar | |
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