Добірка наукової літератури з теми "GNSS data"
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Статті в журналах з теми "GNSS data"
Yang, 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, no. 4 (February 17, 2022): 988. http://dx.doi.org/10.3390/rs14040988.
Повний текст джерелаGu, Nianzu, Fei Xing, and Zheng You. "GNSS Spoofing Detection Based on Coupled Visual/Inertial/GNSS Navigation System." Sensors 21, no. 20 (October 12, 2021): 6769. http://dx.doi.org/10.3390/s21206769.
Повний текст джерелаXu, Changhui, Jingkui Zhang, Zhiyou Zhang, Jianning Hou, and Xujie Wen. "Data and Service Security of GNSS Sensors Integrated with Cryptographic Module." Micromachines 14, no. 2 (February 15, 2023): 454. http://dx.doi.org/10.3390/mi14020454.
Повний текст джерелаZhao, Qingzhi, Kefei Zhang, and Wanqiang Yao. "Influence of station density and multi-constellation GNSS observations on troposphere tomography." Annales Geophysicae 37, no. 1 (January 14, 2019): 15–24. http://dx.doi.org/10.5194/angeo-37-15-2019.
Повний текст джерелаBai, Weihua, Guojun Wang, Yueqiang Sun, Jiankui Shi, Guanglin Yang, Xiangguang Meng, Dongwei Wang, et al. "Application of the Fengyun 3 C GNSS occultation sounder for assessing the global ionospheric response to a magnetic storm event." Atmospheric Measurement Techniques 12, no. 3 (March 7, 2019): 1483–93. http://dx.doi.org/10.5194/amt-12-1483-2019.
Повний текст джерелаSun, Yueqiang, Weihua Bai, Congliang Liu, Yan Liu, Qifei Du, Xianyi Wang, Guanglin Yang, et al. "The FengYun-3C radio occultation sounder GNOS: a review of the mission and its early results and science applications." Atmospheric Measurement Techniques 11, no. 10 (October 23, 2018): 5797–811. http://dx.doi.org/10.5194/amt-11-5797-2018.
Повний текст джерелаGuerova, G., T. Simeonov, and N. Yordanova. "The Sofia University Atmospheric Data Archive (SUADA)." Atmospheric Measurement Techniques 7, no. 8 (August 21, 2014): 2683–94. http://dx.doi.org/10.5194/amt-7-2683-2014.
Повний текст джерелаGuerova, G., Tzv Simeonov, and N. Yordanova. "The Sofia University Atmospheric Data Archive (SUADA)." Atmospheric Measurement Techniques Discussions 7, no. 3 (March 5, 2014): 2153–85. http://dx.doi.org/10.5194/amtd-7-2153-2014.
Повний текст джерелаRovira-Garcia, Adria, and José Miguel Juan Zornoza. "Special Issue on GNSS Data Processing and Navigation." Sensors 20, no. 15 (July 24, 2020): 4119. http://dx.doi.org/10.3390/s20154119.
Повний текст джерелаYin, Cong, Feixiong Huang, Junming Xia, Weihua Bai, Yueqiang Sun, Guanglin Yang, Xiaochun Zhai, et al. "Soil Moisture Retrieval from Multi-GNSS Reflectometry on FY-3E GNOS-II by Land Cover Classification." Remote Sensing 15, no. 4 (February 17, 2023): 1097. http://dx.doi.org/10.3390/rs15041097.
Повний текст джерелаДисертації з теми "GNSS data"
Ortolani, Alberto <1969>. "Probabilistic tomography of atmospheric parameters from GNSS data." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amsdottorato.unibo.it/3922/1/ortolani_alberto_tesi.pdf.
Повний текст джерелаOrtolani, Alberto <1969>. "Probabilistic tomography of atmospheric parameters from GNSS data." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amsdottorato.unibo.it/3922/.
Повний текст джерелаBertani, Federico. "Reconstruction of vehicle dynamics from inertial and GNSS data." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16105/.
Повний текст джерелаHorn, Matti. "En analys av webbtjänster för bearbetning av GNSS-data." Thesis, KTH, Geoinformatik och Geodesi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-46743.
Повний текст джерелаRomano, Vincenzo. "Ionospheric scintillation effects on GNSS : monitoring and data treatment development." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/33909/.
Повний текст джерелаKhodabandeh, Amir. "Precise multi-GNSS point positioning: theory, algorithm and data analysis." Thesis, Curtin University, 2015. http://hdl.handle.net/20.500.11937/159.
Повний текст джерелаYan, Thomas Surya Sanjaya Surveying & Spatial Information Systems Faculty of Engineering UNSW. "Analysis on distribution of real-time GNSS data over IP networks." Publisher:University of New South Wales. Surveying & Spatial Information Systems, 2008. http://handle.unsw.edu.au/1959.4/41286.
Повний текст джерелаPolezel, Wesley Gildo Canducci [UNESP]. "Investigações sobre o impacto da modernização do GNSS no Posicionamento." Universidade Estadual Paulista (UNESP), 2010. http://hdl.handle.net/11449/86810.
Повний текст джерелаCom a inclusão de novos sinais nos satélites GPS e o advento do sistema Galileo, o posicionamento por satélite entrará em uma nova era, trazendo inovações tecnológicas e científicas, principalmente nas combinações entre diferentes sistemas. Logo, verifica-se a importância de analisar a qualidade dos novos sinais, quantificando suas contribuições na acurácia do posicionamento. Visando contribuir com essa demanda, este trabalho tem o intuito de dar continuidade às pesquisas no Brasil sobre a qualidade advinda da modernização do GNSS utilizando os novos sinais transmitidos pelos satélites. O GNSS engloba o GPS, o GLONASS, o Galileo, o SBAS, o Beidou e o LAAS. Entretanto, neste trabalho apenas os sistemas GPS, GLONASS e Galileo serão abordados. Com esses três sistemas é possível realizar combinações lineares para integrá-los no posicionamento por ponto e relativo. Alguns problemas nessa combinação foram detectados com indicações de soluções para os efeitos não modelados. No que concerne aos efeitos da ionosfera, uma combinação ion-free utilizando três freqüências foi apresentada, permitindo eliminar os efeitos de primeira e segunda ordem da ionosfera. Apresenta-se também uma revisão bibliográfica do estado da arte da solução da ambigüidade utilizando esses três sistemas. Além disso, foi realizado um experimento a fim de analisar a qualidade do novo sinal L2C. Nas análises, tal como esperado, os satélites modernizados apresentaram melhores resultados do que os satélites não modernizados. Como o sistema Galileo ainda não está operacional, foi implementado no software GPSeq a interoperabilidade dos sinais GPS e GLONASS e realizadas análises comparando tais sistemas no posicionamento relativo. Além disso, comparou-se os resultados do software GPSeq com softwares comerciais. Os resultados, em alguns momento...
With the addition of new signals in GPS satellites and the advent of Galileo system, the satellite positioning will start a new era, which will require technologic and scientific innovations mainly in combinations of these systems. Therefore, analyzing the new signal quality and quantifying their contribution in the positioning accuracy are very important. Thus, this research points out the importance of continuing investigations in Brazil about GNSS modernization using the new signals transmitted by the satellites. The GNSS include GPS, GLONASS, Galileo, SBAS, Beidou and LAAS. However, in this work only GPS, GLONASS and Galileo system are taken into account. In order to integrate these three systems it is possible to accomplish linear combinations in absolute and relative positioning. Some problems in these combinations were detected and solutions for the unmodeled effects were recommended. For the ionospheric effect, an ion-free combination using three frequencies was performed. This combination can eliminate the ionosphere effects of first and second order. In this paper a bibliographical revision of the ambiguity solution using three systems is accomplished. Furthermore, an experiment was carried out to analyze... (Complete abstract click electronic access below)
Takahashi, Atsushi. "Hierarchical Cluster Analysis of Dense GNSS Data and Interpretation of Cluster Characteristics." Kyoto University, 2019. http://hdl.handle.net/2433/244510.
Повний текст джерелаPolezel, Wesley Gildo Canducci. "Investigações sobre o impacto da modernização do GNSS no Posicionamento /." Presidente Prudente : [s.n.], 2010. http://hdl.handle.net/11449/86810.
Повний текст джерелаAbstract: With the addition of new signals in GPS satellites and the advent of Galileo system, the satellite positioning will start a new era, which will require technologic and scientific innovations mainly in combinations of these systems. Therefore, analyzing the new signal quality and quantifying their contribution in the positioning accuracy are very important. Thus, this research points out the importance of continuing investigations in Brazil about GNSS modernization using the new signals transmitted by the satellites. The GNSS include GPS, GLONASS, Galileo, SBAS, Beidou and LAAS. However, in this work only GPS, GLONASS and Galileo system are taken into account. In order to integrate these three systems it is possible to accomplish linear combinations in absolute and relative positioning. Some problems in these combinations were detected and solutions for the unmodeled effects were recommended. For the ionospheric effect, an ion-free combination using three frequencies was performed. This combination can eliminate the ionosphere effects of first and second order. In this paper a bibliographical revision of the ambiguity solution using three systems is accomplished. Furthermore, an experiment was carried out to analyze... (Complete abstract click electronic access below)
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Banca: Helio Koiga Kuga
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Книги з теми "GNSS data"
Morozova, Katerina. Parameter Estimation on Hybrid Zenith Camera and Gravimeter Data for Integrated Gravity Field and Geoid Determination Based on Spherical-cap-harmonics Modelling. RTU Press, 2022. http://dx.doi.org/10.7250/9789934228179.
Повний текст джерелаЧастини книг з теми "GNSS data"
Awange, Joseph. "Data Processing and Adjustment." In GNSS Environmental Sensing, 97–113. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58418-8_6.
Повний текст джерелаLo Presti, Letizia, and Marco Pini. "Methods for Protection-Level Evaluation with Augmented Data." In GNSS for Rail Transportation, 87–118. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-79084-8_5.
Повний текст джерелаDong, Feihong, Jing Lv, Yong Yu, Qingqing Wang, and Caiwu Wang. "Inter-satellite Traffic Data Modeling for GNSS." In Lecture Notes in Electrical Engineering, 69–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29175-3_7.
Повний текст джерелаVesnin, Artem. "Real-Time Data Assimilation for Space Weather Effects Mitigation on GNSS/SBAS." In Space Weather Impact on GNSS Performance, 255–319. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15874-2_6.
Повний текст джерелаLi, Bin, Jizhang Sang, and Yun Wu. "Validation of GNSS ARAIM Algorithm Using Real Data." In Lecture Notes in Electrical Engineering, 203–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54743-0_18.
Повний текст джерелаYao, Xiang, Mingjian Chen, Jianguang Wang, and Rui Chen. "Quality Analysis of GNSS Data in Polar Region." In Lecture Notes in Electrical Engineering, 376–88. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7759-4_34.
Повний текст джерелаCooke, Tommy. "Smartphones, APIs & GNSS (Not GPS) Location Data." In Privacy, 78–106. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003173335-4.
Повний текст джерелаRawiel, Paul. "Positioning of Pedelecs for a Pedelec Sharing System with Free-Floating Bikes." In iCity. Transformative Research for the Livable, Intelligent, and Sustainable City, 51–64. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_5.
Повний текст джерелаRuston, Benjamin, Neill Bowler, Sean Healy, and Hui Shao. "GNSS-RO Sounding in the Troposphere and Stratosphere." In Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV), 373–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77722-7_13.
Повний текст джерелаMu, Renhai, Yamin Dang, and Changhui Xu. "BDS-3/GNSS Data Quality and Positioning Performance Analysis." In Lecture Notes in Electrical Engineering, 368–79. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3707-3_35.
Повний текст джерелаТези доповідей конференцій з теми "GNSS data"
Lohan, Elena Simona, Jukka Talvitie, and Gonzalo-Seco Granados. "Data fusion approaches for WiFi fingerprinting." In 2016 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2016. http://dx.doi.org/10.1109/icl-gnss.2016.7533847.
Повний текст джерелаNavarro, Vicente, and Javier Ventura-Traveset. "A DATA-INTENSIVE APPROACH TO EXPLOIT NEW GNSS SCIENCE OPPORTUNITIES." In 3rd Congress in Geomatics Engineering. Valencia: Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/cigeo2021.2021.12740.
Повний текст джерелаFerrara, Nunzia Giorgia, Jari Nurmi, and Elena Simona Lohan. "Multi-GNSS analysis based on full constellations simulated data." In 2016 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2016. http://dx.doi.org/10.1109/icl-gnss.2016.7533863.
Повний текст джерелаKarttunen, Aki, Mikko Valkama, and Jukka Talvitie. "Positioning Based on Noise-Limited Censored Path Loss Data." In 2020 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2020. http://dx.doi.org/10.1109/icl-gnss49876.2020.9115572.
Повний текст джерелаQu, Yi, Haitao Wu, and Ting Liu. "GNSS Data Provenance Traceability Research." In 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017). Institute of Navigation, 2017. http://dx.doi.org/10.33012/2017.15318.
Повний текст джерелаThombre, Sarang, and Jari Nurmi. "Bandpass-sampling based GNSS sampled data generator — A design perspective." In 2012 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2012. http://dx.doi.org/10.1109/icl-gnss.2012.6253114.
Повний текст джерелаImam, Rayan, Marco Pini, Gianluca Marucco, Fabrizio Dominici, and Fabio Dovis. "Data from GNSS-Based Passive Radar to Support Flood Monitoring Operations." In 2019 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2019. http://dx.doi.org/10.1109/icl-gnss.2019.8752942.
Повний текст джерелаKlus, Roman, Jukka Talvitie, and Mikko Valkama. "Neural Network Fingerprinting and GNSS Data Fusion for Improved Localization in 5G." In 2021 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2021. http://dx.doi.org/10.1109/icl-gnss51451.2021.9452245.
Повний текст джерелаSoininen, Tero, Paula Syrjarinne, Simo Ali-Loytty, and Christoph Schmid. "Data-Driven Approach to Satellite Selection in Multi-Constellation GNSS Receivers." In 2018 8th International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2018. http://dx.doi.org/10.1109/icl-gnss.2018.8440912.
Повний текст джерелаLeitinger, Erik, Florian Meyer, Paul Meissner, Klaus Witrisal, and Franz Hlawatsch. "Belief propagation based joint probabilistic data association for multipath-assisted indoor navigation and tracking." In 2016 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2016. http://dx.doi.org/10.1109/icl-gnss.2016.7533839.
Повний текст джерелаЗвіти організацій з теми "GNSS data"
Habib, Ayman, Darcy M. Bullock, Yi-Chun Lin, Raja Manish, and Radhika Ravi. Field Test Bed for Evaluating Embedded Vehicle Sensors with Indiana Companies. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317385.
Повний текст джерелаBrodie, Katherine, Brittany Bruder, Richard Slocum, and Nicholas Spore. Simultaneous mapping of coastal topography and bathymetry from a lightweight multicamera UAS. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41440.
Повний текст джерелаBhatt, Parth, Curtis Edson, and Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, September 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.
Повний текст джерелаPstuty, Norbert, Mark Duffy, Dennis Skidds, Tanya Silveira, Andrea Habeck, Katherine Ames, and Glenn Liu. Northeast Coastal and Barrier Network Geomorphological Monitoring Protocol: Part I—Ocean Shoreline Position, Version 2. National Park Service, June 2022. http://dx.doi.org/10.36967/2293713.
Повний текст джерела