Academic literature on the topic 'Errori sistema GPS'
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Journal articles on the topic "Errori sistema GPS"
Zabala, Monica, Lorena Cuenca, Jorge León, and Fausto Cabrera. "Arquitectura de acoplamiento entre INS/GPS para navegación precisa en trayectorias establecidas." MASKAY 8, no. 1 (May 16, 2018): 13. http://dx.doi.org/10.24133/maskay.v8i1.590.
Full textBasukesti, Agus. "FILTER ADAPTIF GPS PADA SISTEM DOWNLINK DATA." KURVATEK 1, no. 1 (April 29, 2016): 6. http://dx.doi.org/10.33579/krvtk.v1i1.214.
Full textBasukesti, Agus, and Bangga Dirgantara Adiputra. "FILTER ADAPTIF GPS PADA SISTEM DOWNLINK DATA." Angkasa: Jurnal Ilmiah Bidang Teknologi 8, no. 2 (August 25, 2017): 121. http://dx.doi.org/10.28989/angkasa.v8i2.125.
Full textBasukesti, Agus, and Bangga Dirgantara. "Algoritma Adaptif Sistem Downlink Menggunakan Recursive Least Square (RLS)." Angkasa: Jurnal Ilmiah Bidang Teknologi 9, no. 1 (August 22, 2017): 1. http://dx.doi.org/10.28989/angkasa.v9i1.106.
Full textPrieto Jiménez, Natalia, and Germán González Silva. "Comparative Study of Equations of State for the Dew Curves Calculation in High Pressure Natural Gas Mixtures. [Estudio Comparativo de Ecuaciones de Estado para el Cálculo de Curvas de Rocío en Mezclas de Gas Natural a Alta Presión]." Revista Logos Ciencia & Tecnología 11, no. 1 (December 30, 2018): 152–64. http://dx.doi.org/10.22335/rlct.v11i1.743.
Full textMaulana, Nurhuda, Oky Dwi Nurhayati, and Eko Didik Widianto. "Perancangan Sistem Sensor Pemonitor Lingkungan Berbasis Jaringan Sensor Nirkabel." Jurnal Teknologi dan Sistem Komputer 4, no. 2 (April 23, 2016): 353. http://dx.doi.org/10.14710/jtsiskom.4.2.2016.353-360.
Full textArimbawa, I. Wayan Agus, Abdul Chalel Rahman, and Andy Hidayat Jatmika. "Implementasi Internet of Things pada Sistem Informasi Pelacakan Kendaraan Bermotor Menggunakan GPS Berbasis Web." Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) 1, no. 1 (May 6, 2019): 121–30. http://dx.doi.org/10.29303/jtika.v1i1.10.
Full textSabilla, Reyana Yunindya, and Dodon Yendri. "Sistem Monitoring Kondisi dan Posisi Pengemudi Berbasis Internet of things." CHIPSET 2, no. 01 (April 30, 2021): 1–10. http://dx.doi.org/10.25077/chipset.2.01.1-10.2021.
Full textCorvalán, Rubén E., José O. Schaller, Valeria S. Titiosky, and Elvira E. Ferrari. "Uso de receptores monofrecuencia para mediciones geodésicas en sistema CNSS, en la región del Nordeste." Extensionismo, Innovación y Transferencia Tecnológica 5 (June 26, 2019): 165. http://dx.doi.org/10.30972/eitt.503750.
Full textNieto Duran, Jesús David, Luis Fernando Santos Quintero, Laura Juliana Vargas Escobar, and Sergio Alexander Salinas. "Geolocalización para pacientes con alzhéimer: una propuesta." Visión electrónica 11, no. 1 (June 28, 2017): 40–44. http://dx.doi.org/10.14483/22484728.12791.
Full textDissertations / Theses on the topic "Errori sistema GPS"
Cacchi, Alberto. "Valutazione dell'attività fisica tramite l'uso del Global Positioning System." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017.
Find full textAlves, Daniele Barroca Marra [UNESP]. "Método dos mínimos quadrados com penalidades: aplicação no posicionamento relativo GPS." Universidade Estadual Paulista (UNESP), 2004. http://hdl.handle.net/11449/88541.
Full textCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
O Global Navigation Satellite System (GNSS), que congrega os vários sistemas de posicionamento por satélite existentes, tem como principal objetivo viabilizar o posicionamento de baixa, média e alta precisão. Dentre os sistemas de posicionamento que integram o GNSS, o Global Positioning System (GPS) tem grande destaque. Mas as observáveis GPS, tal como todas as outras observáveis envolvidas nos processos de medidas, estão sujeitas a erros aleatórios, sistemáticos e grosseiros. Os erros aleatórios são inevitáveis, sendo, portanto, considerados uma propriedade inerente das observações. Erros grosseiros (outliers) devem ser eliminados através do processo de controle de qualidade. Erros sistemáticos podem ser parametrizados ou eliminados por técnicas apropriadas de observação. Eles degradam a acurácia do posicionamento realizado com o GPS. Esses erros incluem erros da órbita dos satélites GPS, multicaminho, erros de refração atmosférica, dentre outros. Dessa forma, alguns trabalhos recentes têm utilizado o modelo semiparamétrico e o método dos mínimos quadrados com penalidades (MMQ com penalidades) para atenuar os efeitos desses erros residuais, utilizando dados de receptores de monofrequência. No modelo semiparamétrico as variáveis estimadas são divididas em uma parte paramétrica (coordenadas da estação e ambigüidades), que é de interesse do usuário, e uma parte não-paramétrica (funções de erros que variam suavemente com o tempo). Assim, devido ao número de incógnitas ser maior que o usual, é utilizado o MMQ com penalidades. Essa técnica utiliza uma spline cúbica natural, cuja suavidade é determinada pelo parâmetro suavizador, calculado pela validação cruzada generalizada. Nesse método, os erros são modelados como funções que variam suavemente com o tempo...
The Global Navigation Satellite System (GNSS), that encompasses several satellite positioning systems, has as main goal to make available the low, medium and high precision positioning. Among the positioning systems that integrate GNSS, the Global Positioning System (GPS) has a great importance. But the GPS observables, like all other observables involved in a measurement process, are subject to random, systematic and outliers errors. The random errors are inevitable, being, therefore, considered an inherent property of the observations. Outliers should be eliminated through the quality control process. Systematic errors can be modeled or eliminated by appropriate observation techniques. The systematic errors degrade the accuracy of the positioning accomplished by GPS. These errors are those related to GPS satellites orbits, multipath, atmospheric refraction among others. Thus, some authors have been using the semiparametric model and the penalised least squares technique to mitigate these residual errors, using single frequency receiver data. In a semiparametric model the estimated variables are divided into a parametric part (station coordinates and ambiguities), which is of interest to the users, and a nonparametric one (composed by error functions that vary smoothly with time). However, due to the unknowns number being larger than the usual, the penalised least squares is used. This technique uses a natural cubic spline, whose smoothness is determined by a smoothing parameter, computed by using the generalized cross validation. In this method, the errors are modeled as functions which vary smoothly in time. And more, the systematic errors functions, ambiguities and station coordinates are estimated simultaneously. As a result, the ambiguities and the station coordinates are estimated with better reliability and accuracy than the conventional least square method...(Complete abstract click electronic access below)
Alves, Daniele Barroca Marra. "Método dos mínimos quadrados com penalidades : aplicação no posicionamento relativo GPS /." Presidente Prudente : [s.n.], 2004. http://hdl.handle.net/11449/88541.
Full textAbstract: The Global Navigation Satellite System (GNSS), that encompasses several satellite positioning systems, has as main goal to make available the low, medium and high precision positioning. Among the positioning systems that integrate GNSS, the Global Positioning System (GPS) has a great importance. But the GPS observables, like all other observables involved in a measurement process, are subject to random, systematic and outliers errors. The random errors are inevitable, being, therefore, considered an inherent property of the observations. Outliers should be eliminated through the quality control process. Systematic errors can be modeled or eliminated by appropriate observation techniques. The systematic errors degrade the accuracy of the positioning accomplished by GPS. These errors are those related to GPS satellites orbits, multipath, atmospheric refraction among others. Thus, some authors have been using the semiparametric model and the penalised least squares technique to mitigate these residual errors, using single frequency receiver data. In a semiparametric model the estimated variables are divided into a parametric part (station coordinates and ambiguities), which is of interest to the users, and a nonparametric one (composed by error functions that vary smoothly with time). However, due to the unknowns number being larger than the usual, the penalised least squares is used. This technique uses a natural cubic spline, whose smoothness is determined by a smoothing parameter, computed by using the generalized cross validation. In this method, the errors are modeled as functions which vary smoothly in time. And more, the systematic errors functions, ambiguities and station coordinates are estimated simultaneously. As a result, the ambiguities and the station coordinates are estimated with better reliability and accuracy than the conventional least square method...(Complete abstract click electronic access below)
Orientador: João Francisco Galera Monico
Coorientador: Messias Meneguette Júnior
Mestre
Bellei, Leandro Napoli. "O sistema WAAS e a estimação do atraso ionosférico no sinal GPS." Instituto Tecnológico de Aeronáutica, 2006. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=275.
Full textFilho, Edmundo Alberto Marques. "Sistema de navegação inercial GPS/INS de baixo custo com compensação de erros por redes neurais artificiais." Instituto Nacional de Pesquisas Espaciais, 2011. http://urlib.net/sid.inpe.br/mtc-m19/2011/11.07.22.08.
Full textThis work addresses the use of artificial neural network (ANN) in GPS aided inertial navigation systems. The GPS technology dominates, nowadays, the positioning and navigation (POS/NAV) market, and alternative POS/NAV systems are only needed because GPS does not work in all environments, or can not provide reliable solutions during some time interval. There are different solutions to fulfill information during GPS blockage and integrated inertial sensors systems with GPS are frequently used. However, low cost inertial sensors have the disadvantage of accumulating continuous errors in great extension, leading to poor system performance. In this context, ANN is applied to provide better NAV/POS solutions during the lack of information in GPS outages. This work introduces a review of the main used concepts and techniques, an approach to define input-output ANN signals based on a reduced set of inertial navigation equations, and the ANN prediction and training operation modes. It presents a methodology to preprocessing input data and a training algorithm, based on adaptive Kalman filtering approach. It also proposes a method for ANN training with the characteristic of alternating the training patterns from batch mode, with a constant data set size, to sequential mode, by filtering individual pattern-by-pattern of training data, which gives to the method some real time training capacity. Finally, numerical simulation results are assessed from urban vehicular positioning application, with data acquired from an MEMS IMU Crossbow CD400_200 and an Ashtech Z12 GPS receiver. The proposed methods were tested with different vehicle dynamic situations and the position errors, acquired in prediction mode or simulated GPS outage, were assessed. When compared to a conventional INS/GPS system, integrated by a Kalman filter and operating without GPS updates, the ANN position errors have lower magnitudes. These results indicate that ANN was more capable to learn the vehicles kinematics, for a certain time interval, than the modeling presented by the conventional navigation system.
Rosa, Luiz Carlos Laureano da. "Modelo estatístico para minimizar erros do GPS: uma ferramenta para dar suporte ao GBAS." Instituto Tecnológico de Aeronáutica, 2006. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=276.
Full textCampos, Renan de Freitas Elias. "Algoritmos de navegação inercial com múltiplas taxas de amostragem para fusão ins/gps/câmera com federação de filtros." Instituto Tecnológico de Aeronáutica, 2011. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1968.
Full textMoraes, Alison de Oliveira. "Análise do desempenho de um receptor GPS em canais com cintilação ionosférica." Instituto Tecnológico de Aeronáutica, 2009. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=765.
Full textBook chapters on the topic "Errori sistema GPS"
Shi, Chuang, and Na Wei. "Satellite Navigation for Digital Earth." In Manual of Digital Earth, 125–60. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9915-3_4.
Full textConference papers on the topic "Errori sistema GPS"
Zaro, Eduardo, João Olegário O. de Souza, and Rodrigo Marques de Figueiredo. "Veículo Elétrico Autônomo Guiado por GPS para Ambiente Industrial." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1139.
Full textNagata, Ronaldo, and Álvaro Fazenda. "Técnicas de Alto Desempenho aplicadas à Sistemas de Visão Computacional para navegação autônoma de VANTs." In Escola Regional de Alto Desempenho de São Paulo. Sociedade Brasileira de Computação, 2019. http://dx.doi.org/10.5753/eradsp.2019.13585.
Full textDiaz, Silvia, and Paulo Sérgio Souza. "Structural testing criteria for concurrent programs considering loop executions." In XX Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/wscad_estendido.2019.8711.
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