Literatura académica sobre el tema "GNSS"
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Artículos de revistas sobre el tema "GNSS"
Yang, Lijie, Jinhua Wang, Liying Sun, Yisi Zhang, Peng Huang y Junfeng Guo. "Comparison of Gold Nanospheres, Nanorods, Nanocages and Nanoflowers for Combined Photothermal-Radiotherapy of Cancer". Nano 16, n.º 04 (10 de marzo de 2021): 2150037. http://dx.doi.org/10.1142/s1793292021500375.
Texto completoYang, Guanglin, Weihua Bai, Jinsong Wang, Xiuqing Hu, Peng Zhang, Yueqiang Sun, Na Xu et al. "FY3E GNOS II GNSS Reflectometry: Mission Review and First Results". Remote Sensing 14, n.º 4 (17 de febrero de 2022): 988. http://dx.doi.org/10.3390/rs14040988.
Texto completoYasyukevich, Yury V., Baocheng Zhang y Venkata Ratnam Devanaboyina. "Advances in GNSS Positioning and GNSS Remote Sensing". Sensors 24, n.º 4 (12 de febrero de 2024): 1200. http://dx.doi.org/10.3390/s24041200.
Texto completoWang, Xiaocui, Guohua Li, Yu Ding y Shuqing Sun. "Understanding the photothermal effect of gold nanostars and nanorods for biomedical applications". RSC Adv. 4, n.º 57 (2014): 30375–83. http://dx.doi.org/10.1039/c4ra02978j.
Texto completoGu, Nianzu, Fei Xing y Zheng You. "GNSS Spoofing Detection Based on Coupled Visual/Inertial/GNSS Navigation System". Sensors 21, n.º 20 (12 de octubre de 2021): 6769. http://dx.doi.org/10.3390/s21206769.
Texto completoZubinaitė, Vilma y George Preiss. "A PROPOSED SIMPLIFIED TECHNIQUE FOR CONFIRMING HIGH PRECISION GNSS ANTENNA OFFSETS". Aviation 14, n.º 3 (30 de septiembre de 2010): 83–89. http://dx.doi.org/10.3846/aviation.2010.13.
Texto completoMagny, Jean Pierre. "Application of Satellite Based Augmentation Systems to Altitude Separation". Journal of Navigation 52, n.º 3 (septiembre de 1999): 313–17. http://dx.doi.org/10.1017/s0373463399008413.
Texto completoQiu, Tongsheng, Xianyi Wang, Yueqiang Sun, Fu Li, Zhuoyan Wang, Junming Xia, Qifei Du et al. "An Innovative Signal Processing Scheme for Spaceborne Integrated GNSS Remote Sensors". Remote Sensing 15, n.º 3 (27 de enero de 2023): 745. http://dx.doi.org/10.3390/rs15030745.
Texto completoHuang, Zhenchuan, Shuanggen Jin, Ke Su y Xu Tang. "Multi-GNSS Precise Point Positioning with UWB Tightly Coupled Integration". Sensors 22, n.º 6 (14 de marzo de 2022): 2232. http://dx.doi.org/10.3390/s22062232.
Texto completoGuerova, Guergana, Jonathan Jones, Jan Douša, Galina Dick, Siebren de Haan, Eric Pottiaux, Olivier Bock et al. "Review of the state of the art and future prospects of the ground-based GNSS meteorology in Europe". Atmospheric Measurement Techniques 9, n.º 11 (8 de noviembre de 2016): 5385–406. http://dx.doi.org/10.5194/amt-9-5385-2016.
Texto completoTesis sobre el tema "GNSS"
Jedlička, Petr. "Softwarový přijímač GNSS". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413152.
Texto completoMarques, Heloísa Alves Silva [UNESP]. "Modelo estocástico para dados GNSS e séries temporais de coordenadas GNSS". Universidade Estadual Paulista (UNESP), 2013. http://hdl.handle.net/11449/108612.
Texto completoOs modelos funcionais relacionados com as observações GNSS são mais conhecidos do que os modelos estocásticos, visto que o desenvolvimento destes últimos é mais complexo. Normalmente, utilizam-se modelos estocásticos numa forma simplificada, como o modelo padrão, o qual assume que todas as medidas das observações GNSS têm a mesma variância e são estatisticamente independentes, espacialmente e temporalmente. Porém, tal suposição não reflete a realidade. Desta forma, atualmente os modelos estocásticos vêm sendo pesquisados com maior profundidade, por exemplo, considerando correlação temporal, cintilação ionosférica, dentre outros. O Brasil, por estar numa região geomagnética equatorial, sofre forte influência de cintilação ionosférica e outros efeitos relacionados à ionosfera. Tendo em vista a recente tecnologia de receptores GNSS que proporciona a possibilidade de se obter parâmetros de cintilação ionosférica, este efeito é factível de ser considerado na modelagem estocástica. Mesmo com a realização de uma modelagem estocástica adequada no processamento de dados GNSS, ainda podem restar erros não-modelados (ruídos), os quais devem contaminar as séries temporais das coordenadas obtidas com as observáveis GNSS, em especial aqueles relacionados com fatores que extrapolam a duração de uma dia, que é o período em geral utilizado na modelagem e processamento dos dados. Desta forma, tais ruídos podem ser caracterizados a partir das componentes de variância dos ruídos das séries temporais. Sendo assim, essa pesquisa teve como objetivo expandir as investigações com relação à modelagem estocástica das observações GNSS considerando principalmente os efeitos de cintilação ionosférica na região brasileira...
Functional models related to GNSS observations are better known than the stochastic models because the development these last one is more complex. Generally, stochastic models are applied in a simplified form, as the standard model, which assumes that all GNSS measurements have the same variance and are statistically independent, spatially and temporally. However, this assumption does not reflect the reality. Therefore, currently the stochastic models have been investigated more deeply, for instance, considering time correlation, ionospheric scintillation, among others. Brazil is located in the equatorial geomagnetic region and because of this suffers strong influence of ionospheric scintillation and other effects related to the ionosphere. Considering the recent technology of the GNSS receivers, that provide ways to obtain parameters of ionospheric scintillation, this effect is feasible of being considered in the stochastic modeling. Even if an adequate stochastic modeling could be applied in the GNSS data processing, it still may remain non-modeled errors (noise) that can influence the coordinate’s time series, especially those related to factors that go beyond the duration of one day, which is in general the interval (one day) used in the modeling and data processing. Thus, such noise can be characterized from the noise variance components of the time series. Therefore, this research aimed to expand the investigations regarding the stochastic modeling of GNSS observations mainly considering the ionospheric scintillation effects in the Brazilian region. Furthermore, it also aims to perform investigations related to methodologies for the noise characterization in the GNSS coordinates time series and establish a methodology for building functional models of these series...
Marques, Heloísa Alves Silva. "Modelo estocástico para dados GNSS e séries temporais de coordenadas GNSS /". Presidente Prudente, 2013. http://hdl.handle.net/11449/108612.
Texto completoCoorientador: Manoel Ivanildo Silvestre Bezerra
Banca: Silvio Rogério Correia de Freitas
Banca: Eunice Menezes de Souza
Banca: Vilma Mayumi Tachibana
Banca: Daniele Barroca Marra Alves
Resumo: Os modelos funcionais relacionados com as observações GNSS são mais conhecidos do que os modelos estocásticos, visto que o desenvolvimento destes últimos é mais complexo. Normalmente, utilizam-se modelos estocásticos numa forma simplificada, como o modelo padrão, o qual assume que todas as medidas das observações GNSS têm a mesma variância e são estatisticamente independentes, espacialmente e temporalmente. Porém, tal suposição não reflete a realidade. Desta forma, atualmente os modelos estocásticos vêm sendo pesquisados com maior profundidade, por exemplo, considerando correlação temporal, cintilação ionosférica, dentre outros. O Brasil, por estar numa região geomagnética equatorial, sofre forte influência de cintilação ionosférica e outros efeitos relacionados à ionosfera. Tendo em vista a recente tecnologia de receptores GNSS que proporciona a possibilidade de se obter parâmetros de cintilação ionosférica, este efeito é factível de ser considerado na modelagem estocástica. Mesmo com a realização de uma modelagem estocástica adequada no processamento de dados GNSS, ainda podem restar erros não-modelados (ruídos), os quais devem contaminar as séries temporais das coordenadas obtidas com as observáveis GNSS, em especial aqueles relacionados com fatores que extrapolam a duração de uma dia, que é o período em geral utilizado na modelagem e processamento dos dados. Desta forma, tais ruídos podem ser caracterizados a partir das componentes de variância dos ruídos das séries temporais. Sendo assim, essa pesquisa teve como objetivo expandir as investigações com relação à modelagem estocástica das observações GNSS considerando principalmente os efeitos de cintilação ionosférica na região brasileira...
Abstract: Functional models related to GNSS observations are better known than the stochastic models because the development these last one is more complex. Generally, stochastic models are applied in a simplified form, as the standard model, which assumes that all GNSS measurements have the same variance and are statistically independent, spatially and temporally. However, this assumption does not reflect the reality. Therefore, currently the stochastic models have been investigated more deeply, for instance, considering time correlation, ionospheric scintillation, among others. Brazil is located in the equatorial geomagnetic region and because of this suffers strong influence of ionospheric scintillation and other effects related to the ionosphere. Considering the recent technology of the GNSS receivers, that provide ways to obtain parameters of ionospheric scintillation, this effect is feasible of being considered in the stochastic modeling. Even if an adequate stochastic modeling could be applied in the GNSS data processing, it still may remain non-modeled errors (noise) that can influence the coordinate's time series, especially those related to factors that go beyond the duration of one day, which is in general the interval (one day) used in the modeling and data processing. Thus, such noise can be characterized from the noise variance components of the time series. Therefore, this research aimed to expand the investigations regarding the stochastic modeling of GNSS observations mainly considering the ionospheric scintillation effects in the Brazilian region. Furthermore, it also aims to perform investigations related to methodologies for the noise characterization in the GNSS coordinates time series and establish a methodology for building functional models of these series...
Doutor
Oliveira, Priscylla Angélica da Silva. "Fusão INS/GNSS com auxílio de medidas de baseline e ângulo GNSS". Instituto Tecnológico de Aeronáutica, 2014. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=3171.
Texto completoTaha, Ahmad Adnan Mohammad. "Mapping the underworld : integrated GNSS based positioning and GIS based GNSS simulation". Thesis, University of Nottingham, 2008. http://eprints.nottingham.ac.uk/10607/.
Texto completoBeneš, Jiří. "Měření parametrů GNSS přijímačů". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413203.
Texto completoPuchrik, Lukáš. "Aspekty vyhodnocení měření GNSS". Doctoral thesis, Vysoké učení technické v Brně. Fakulta stavební, 2013. http://www.nusl.cz/ntk/nusl-392288.
Texto completoElmas, Zeynep Günsu. "Exploiting new GNSS signals to monitor, model and mitigate the ionospheric effects in GNSS". Thesis, University of Nottingham, 2013. http://eprints.nottingham.ac.uk/28418/.
Texto completoYounes, Abdelrazak. "Théorie séquentielle appliquée au contrôle de l'intégrité du GNSS et à l'hybridation GNSS/INS". Toulouse, INPT, 2000. http://www.theses.fr/2000INPT044H.
Texto completoPorter, Michael Howard. "A Performance Analysis of Two Civilian GNSS Receivers in a GNSS Contested Laboratory Environment". Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1564433045685393.
Texto completoLibros sobre el tema "GNSS"
Jin, Shuanggen, R. Jin y X. Liu. GNSS Atmospheric Seismology. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-3178-6.
Texto completoAwange, Joseph. GNSS Environmental Sensing. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-58418-8.
Texto completoJin, Shuanggen, Estel Cardellach y Feiqin Xie. GNSS Remote Sensing. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-7482-7.
Texto completoGPS/GNSS antennas. Boston: Artech House, 2013.
Buscar texto completoOgaja, Clement A. Introduction to GNSS Geodesy. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91821-7.
Texto completoAwange, Joseph L. Environmental Monitoring using GNSS. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-88256-5.
Texto completoTan, Shusen. GNSS Systems and Engineering. Singapore: John Wiley & Sons Singapore Pte. Ltd, 2017. http://dx.doi.org/10.1002/9781118897041.
Texto completoLo Presti, Letizia y Salvatore Sabina, eds. GNSS for Rail Transportation. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-79084-8.
Texto completoBevly, David M. GNSS for vehicle control. Boston, Mass: Artech House, 2010.
Buscar texto completoBevly, David M. GNSS for vehicle control. Boston, Mass: Artech House, 2010.
Buscar texto completoCapítulos de libros sobre el tema "GNSS"
Shi, Chuang y Na Wei. "Satellite Navigation for Digital Earth". En Manual of Digital Earth, 125–60. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9915-3_4.
Texto completoSánchez-Naranjo, Susana María, Nunzia Giorgia Ferrara, Maciej Jerzy Paśnikowski, Jussi Raasakka, Enik Shytermeja, Raúl Ramos-Pollán, Fabio Augusto González Osorio et al. "GNSS Vulnerabilities". En Multi-Technology Positioning, 55–77. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50427-8_4.
Texto completoDemyanov, Vladislav. "GNSS Overview". En Space Weather Impact on GNSS Performance, 5–87. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15874-2_2.
Texto completoHernández-Pajares, Manuel. "GNSS Ionosphere". En Encyclopedia of Geodesy, 1–7. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-02370-0_172-1.
Texto completoBöhm, Johannes y Henrik Vedel. "GNSS Meteorology". En Encyclopedia of Geodesy, 1–5. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-02370-0_7-1.
Texto completoAlves, Marcelo de Carvalho y Luciana Sanches. "GNSS Surveying". En Surveying with Geomatics and R, 349–84. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003184263-14.
Texto completoChowdhury, Dhiman Deb. "GNSS Time". En NextGen Network Synchronization, 51–64. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71179-5_4.
Texto completoJamil, Abdullah. "Kebijakan Global Navigation Satellite System (GNSS) Negara Pengguna". En Kajian Kebijakan dan Informasi Kedirgantaraan, 93–115. Bogor: Mitra Wacana Media, 2015. http://dx.doi.org/10.30536/9786023181360.6.
Texto completoJin, Shuanggen, R. Jin y X. Liu. "GNSS Tropospheric Sounding". En GNSS Atmospheric Seismology, 31–45. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-3178-6_3.
Texto completoJin, Shuanggen, R. Jin y X. Liu. "GNSS Ionospheric Sounding". En GNSS Atmospheric Seismology, 47–73. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-3178-6_4.
Texto completoActas de conferencias sobre el tema "GNSS"
Palombo, Nola y Keunhan Park. "Investigation of Dynamic Near-Field Radiation Between Quantum Dots and Plasmonic Nanoparticles for Effective Tailoring of Solar Spectrum". En ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-64561.
Texto completoTian, Yusen, Xianyi Wang, Yueqiang Sun, Dongwei Wang, Chunjun Wu, Weihua Bai, Junming Xia y Qifei Du. "Multifunctional GNSS-R Processing Software FOR GNOS II". En IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. http://dx.doi.org/10.1109/igarss.2019.8897997.
Texto completoKurum, Mehmet, Md Mehedi Farhad y Dylan Boyd. "GNSS TRANSMISSOMETRY (GNSS-T): MODELING PROPAGATION OF GNSS SIGNALS THROUGH FOREST CANOPY". En IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2022. http://dx.doi.org/10.1109/igarss46834.2022.9883361.
Texto completoWong, Jun Kai, Robert Taylor, Sungchul Baek, Yasitha Hewakuruppu, Xuchuan Jiang y Chuyang Chen. "Temperature Measurements of a Gold Nanosphere Solution in Response to Light-Induced Hyperthermia". En ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-66424.
Texto completoYin, Cong, Junming Xia, Feixiong Huang, Wei Li, Weihua Bai, Yueqiang Sun, Congliang Liu et al. "Sea Ice Detection with FY3E GNOS II GNSS Reflectometry". En 2021 IEEE Specialist Meeting on Reflectometry using GNSS and other Signals of Opportunity (GNSS+R). IEEE, 2021. http://dx.doi.org/10.1109/gnssr53802.2021.9617724.
Texto completoWang, Xianyi, Yusen Tian, Yueqiang Sun, Dongwei Wang, Chunjun Wu, Qifei Du, Yuerong Cai et al. "Software Design of Gnos-2's GNSS-R Module". En IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8518594.
Texto completoBogdanov, Petr, Andrei Druzhin, Olga Nechaeva y Tatiana Primakina. "The Results of GNSS-GNSS Time Offsets Monitoring". En 2019 European Navigation Conference (ENC). IEEE, 2019. http://dx.doi.org/10.1109/euronav.2019.8714125.
Texto completoNovella, Guillaume, Axel J. Garcia -Pena, Christophe Macabiau, Anaïs Martineau, Pierre Ladoux, Philippe Estival y Olivier Troubet-Lacoste. "GNSS Acquisition Thresholds for Civil Aviation GNSS Receivers". En 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022). Institute of Navigation, 2022. http://dx.doi.org/10.33012/2022.18357.
Texto completoYang, Liu y Jin Tian. "Novel GNSS Signal Simulator for Next Generation GNSS". En 2007 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2007. http://dx.doi.org/10.1109/wicom.2007.305.
Texto completoD'Angelo, P., J. A. Pulido, T. Guardabrazo, P. Vieira, P. Silva y F. Amarillo. "GNSS Bias Calibration System: GNSS-BICS system prototype". En 2012 6th ESA Workshop on Satellite Navigation Technologies (Navitec 2012) & European Workshop on GNSS Signals and Signal Processing. IEEE, 2012. http://dx.doi.org/10.1109/navitec.2012.6423112.
Texto completoInformes sobre el tema "GNSS"
Lange, S. y J. Boike. GNSS measurements - new validation records and repetition. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/321050.
Texto completoHu, G. y J. Dawson. The 2017 Australian GNSS CORS position verification analysis. Geoscience Australia, 2018. http://dx.doi.org/10.11636/record.2018.003.
Texto completoDonahue, B., J. Wentzel y R. Berg. Guidelines for RTK/RTN GNSS surveying in Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2013. http://dx.doi.org/10.4095/292856.
Texto completoDonahue, B., J. Wentzel y R. Berg. Guidelines for RTK/RTN GNSS surveying in Canada. Natural Resources Canada/CMSS/Information Management, 2015. http://dx.doi.org/10.4095/329628.
Texto completoHu, G., A. Riddell y J. Dawson. Results of the National GNSS CORS Campaign, September 2014. Geoscience Australia, 2015. http://dx.doi.org/10.11636/record.2015.008.
Texto completoHabib, Ayman, Darcy M. Bullock, Yi-Chun Lin, Raja Manish y Radhika Ravi. Field Test Bed for Evaluating Embedded Vehicle Sensors with Indiana Companies. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317385.
Texto completoNikitina, L., D. W. Danskin, R. Ghoddousi-Fard y P. Prikryl. Status of the existing monitoring and forecasts for GNSS systems. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2015. http://dx.doi.org/10.4095/296982.
Texto completoHu, G., S. McClusky, R. Ruddick y A. Peterson. Evaluation of Geoscience Australia’s proposed GNSS CORS antenna mount adaptors. Geoscience Australia, 2022. http://dx.doi.org/10.11636/record.2022.008.
Texto completoElliot, P. G., E. N. Rosario y R. J. Davis. Novel Quadrifilar Helix Antenna Combining GNSS, Iridium, and a UHF Communications Monopole. Fort Belvoir, VA: Defense Technical Information Center, abril de 2012. http://dx.doi.org/10.21236/ada562143.
Texto completoGhoddousi-Fard, R. An investigation on the GNSS ionospheric mapping-functions uncertainties using NeQuick model. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2020. http://dx.doi.org/10.4095/326084.
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