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Galileo high accuracy service performance and anomaly mitigation capabilities 伽利略高精度服务性能和异常缓解能力
1区 地球科学 Q1 REMOTE SENSING Pub Date : 2023-11-10 DOI: 10.1007/s10291-023-01555-w
Ilaria Martini, Melania Susi, Luca Cucchi, Ignacio Fernandez-Hernandez
Abstract Precise point positioning (PPP) and real-time kinematic techniques are interesting in several sectors, especially for autonomous applications. These users have high accuracy needs coupled with stringent requirements on continuity, availability, integrity, and convergence time, whose satisfaction can be challenging in harsh environments. Galileo launched on January 2023 the initial high accuracy service (HAS), a European free-of-charge PPP service with a worldwide coverage transmitted on E6 signals and provided through an internet connection. This paper characterizes the Galileo HAS product performance, including orbital errors, clock errors, code biases, and overall signal in space error (SISE), with live signals transmitted since HAS service declaration. The paper also presents the behavior of HAS SIS in the case of four satellite anomalies between September 2021 and August 2022, occurring for Galileo and GPS. Finally, the paper presents the results of HAS performance in both static open sky and road scenarios, showing a few-decimeter accuracy even in environments with degraded visibility. The paper shows the improvements in terms of robustness to satellite anomaly thanks to the Galileo HAS characteristics.
精确点定位(PPP)和实时运动技术在许多领域都很有趣,特别是在自动驾驶应用中。这些用户对精度有很高的要求,同时对连续性、可用性、完整性和收敛时间也有严格的要求,在恶劣的环境中很难满足这些要求。伽利略于2023年1月启动了最初的高精度服务(HAS),这是一项欧洲免费的PPP服务,通过E6信号传输,通过互联网连接提供全球覆盖。本文描述了伽利略HAS产品的性能,包括轨道误差、时钟误差、代码偏差和总体空间信号误差(SISE),其中包括自HAS服务声明以来发送的实时信号。本文还介绍了在2021年9月至2022年8月期间伽利略和GPS发生的四颗卫星异常情况下HAS SIS的行为。最后,本文给出了静态开放天空和道路场景下的HAS性能结果,即使在能见度下降的环境下也显示出几分米的精度。利用伽利略系统的特点,提高了系统对卫星异常的鲁棒性。
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引用次数: 0
Pseudorange characteristics of soil-transmitted GNSS signals and their application in soil moisture content retrieval 土壤传输GNSS信号的伪距特征及其在土壤含水量反演中的应用
1区 地球科学 Q1 REMOTE SENSING Pub Date : 2023-11-09 DOI: 10.1007/s10291-023-01566-7
Jie Li, Dongkai Yang, Feng Wang, Xuebao Hong, Mutian Han
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引用次数: 0
Co-seismic ionospheric disturbances characteristics in different azimuths following the 2022 Mexico earthquake from GNSS observations 基于GNSS观测的2022年墨西哥地震不同方位同震电离层扰动特征
1区 地球科学 Q1 REMOTE SENSING Pub Date : 2023-11-06 DOI: 10.1007/s10291-023-01564-9
Linlin Li, Shuanggen Jin, Yi Chai
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引用次数: 0
Retrieval of the Hadley circulation boundaries at regional scales using global positioning system-radio occultation measurements 利用全球定位系统-无线电掩星测量在区域尺度上检索哈德利环流边界
1区 地球科学 Q1 REMOTE SENSING Pub Date : 2023-11-04 DOI: 10.1007/s10291-023-01561-y
U. Anjana, Sneha Susan Mathew, Karanam Kishore Kumar
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引用次数: 0
Comprehensive classification assessment of GNSS observation data quality by fusing k-means and KNN algorithms 融合k-means和KNN算法的GNSS观测数据质量综合分类评估
1区 地球科学 Q1 REMOTE SENSING Pub Date : 2023-11-01 DOI: 10.1007/s10291-023-01557-8
Mengyuan Li, Guanwen Huang, Le Wang, Wei Xie
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引用次数: 0
Design of real-time GNSS-R software-defined receiver for coastal altimetry using GPS/BDS/QZSS signals 基于GPS/BDS/QZSS信号的实时GNSS-R软件定义海岸测高接收机设计
1区 地球科学 Q1 REMOTE SENSING Pub Date : 2023-11-01 DOI: 10.1007/s10291-023-01563-w
Xinyue Meng, Fan Gao, Tianhe Xu, Yunqiao He, Nazi Wang, Baojiao Ning
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引用次数: 0
Topside ionospheric TEC modeling using multiple LEO satellites based on genetic algorithm-optimized machine learning models 基于遗传算法优化机器学习模型的多颗LEO卫星上层电离层TEC建模
1区 地球科学 Q1 REMOTE SENSING Pub Date : 2023-11-01 DOI: 10.1007/s10291-023-01565-8
Yi Han, Lei Wang, Ruizhi Chen, Wenju Fu, Tao Li, Guangrui Liu, Haitao Zhou
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引用次数: 0
Estimating GNSS satellite clock error to provide a new final product and real-time services 估算GNSS卫星时钟误差,提供新的最终产品和实时服务
1区 地球科学 Q1 REMOTE SENSING Pub Date : 2023-10-31 DOI: 10.1007/s10291-023-01558-7
Haojun Li, Xiaoming Li, Jingxin Xiao
{"title":"Estimating GNSS satellite clock error to provide a new final product and real-time services","authors":"Haojun Li, Xiaoming Li, Jingxin Xiao","doi":"10.1007/s10291-023-01558-7","DOIUrl":"https://doi.org/10.1007/s10291-023-01558-7","url":null,"abstract":"","PeriodicalId":12788,"journal":{"name":"GPS Solutions","volume":"219 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135863497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Undifferenced processing of COSMIC-2 radio occultation measurements with 1-Hz LEO clock corrections 1 hz LEO时钟校正下COSMIC-2射电掩星测量的无差别处理
1区 地球科学 Q1 REMOTE SENSING Pub Date : 2023-10-31 DOI: 10.1007/s10291-023-01559-6
Sheng Guo, Shaocheng Zhang, Xiangguang Meng, Yunlong Wu, Yidong Lou, Jian Lin
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引用次数: 0
GPS data analysis and geodetic velocity field investigation in Greece, 2001–2016 2001-2016年希腊GPS数据分析与大地速度场调查
1区 地球科学 Q1 REMOTE SENSING Pub Date : 2023-10-30 DOI: 10.1007/s10291-023-01549-8
Stylianos Bitharis, Christos Pikridas, Aristeidis Fotiou, Dimitrios Rossikopoulos
Abstract In this study, an updated crustal velocity field for the Greece area was estimated using a time series analysis that covers a duration of 16 years (2001–2016) from 227 Global Navigation Satellite System (GNSS) permanent stations. The GPS processing was carried out using GNSS Analysis software at MIT (GAMIT) and the velocity field expressed with respect to Eurasian plate. For the time series analysis, we applied a robust Median Interannual Difference Adjusted for Skewness trend estimator to mitigate the effects of discontinuities due to geophysical phenomena on the estimation of geodetic velocities and their uncertainties. The main earthquake events that occurred in the GPS time series analysis in the study area are analyzed, providing the co-seismic displacements in the permanent GNSS stations. We also compare our geodetic velocities with five previous publications, where we found consistency at the mm/year level, leading to reliable results for the geodynamic behavior of the Greek area, providing a dense velocity field.
在这项研究中,利用227个全球导航卫星系统(GNSS)永久站的时间序列分析,估计了希腊地区更新的地壳速度场,该时间序列分析涵盖了16年(2001-2016)的时间。利用麻省理工学院(MIT)的GNSS分析软件(GAMIT)进行GPS处理,并将速度场表示为相对于欧亚板块。对于时间序列分析,我们采用稳健的中位数年际差校正偏度趋势估计器,以减轻地球物理现象引起的不连续性对大地速度估计及其不确定性的影响。对研究区GPS时间序列分析中发生的主要地震事件进行了分析,并提供了永久GNSS站的同震位移。我们还将我们的大地测量速度与之前的五份出版物进行了比较,在这些出版物中,我们发现了毫米/年水平的一致性,从而为希腊地区的地球动力学行为提供了可靠的结果,提供了密集的速度场。
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引用次数: 0
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GPS Solutions
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