Fechar

1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositóriosid.inpe.br/mtc-m17@80/2007/10.22.18.38   (acesso restrito)
Última Atualização2007:11.13.12.35.59 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m17@80/2007/10.22.18.38.02
Última Atualização dos Metadados2021:02.10.19.06.11 (UTC) administrator
Chave SecundáriaINPE-14959-PRE/9871
Chave de CitaçãoDalbeloAlveMoniSapu:2007:EvGGPo
TítuloZTD Dynamic modeling versus hopfield model: evaluation in GGPS positioning
FormatoOn-line
Ano2007
Data Secundária20070522
Data de Acesso06 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho712 KiB
2. Contextualização
Autor1 Dalbelo, Luiz Fernando Antonio
2 Alves, D. B.
3 Monico, João Francisco Galera
4 Sapucci, Luiz Fernando
Grupo1
2
3
4 DMD-INPE-MCT-BR
Afiliação1 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 Autor1
2
3
4 lsapucci@cptec.inpe.br
Endereço de e-Maildeicy@cptec.inpe.br
Nome do EventoJoint Assembly.
Localização do EventoAcapulco, México
Data22-25 May
Editora (Publisher)AGU
Cidade da EditoraAcapulco, México
Título do LivroAnais
Tipo TerciárioPoster Session
OrganizaçãoAGU
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
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Palavras-Chavenumerical weather prediction
models
atmospheric sciences
zenithal tropospheric
ResumoA 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.
ÁreaMET
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > ZTD Dynamic modeling...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvo14-Dalbelo_el.al_AGU2007_APRESENT.pdf
Grupo de Usuáriosadministrator
deicy@cptec.inpe.br
Visibilidadeshown
Detentor da CópiaSID/SCD
Permissão de Leituradeny from all and allow from 150.163
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
Acervo Hospedeirolcp.inpe.br/ignes/2004/02.12.18.39
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notas
Campos Vaziosarchivingpolicy 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
7. Controle da descrição
e-Mail (login)deicy@cptec.inpe.br
atualizar 


Fechar