On the application of the raw-observation-based PPP to global ionosphere VTEC modeling: an advantage demonstration in the multi-frequency and multi-GNSS context
On the application of the raw-observation-based PPP to global ionosphere VTEC modeling: an advantage demonstration in the multi-frequency and multi-GNSS context
复制标题
基于原始观测的 PPP 在全球电离层 VTEC 建模中的应用：多频率和多 GNSS 背景下的优势演示
DOI：
10.1007/s00190-019-01332-z
复制
发表时间：
2019-12
影响因子：
4.4
通讯作者：
Zhang Xiao
中科院分区：
文献类型：
--
作者：
Liu Teng;Zhang Baocheng;Yuan Yunbin;Zhang Xiao
电离层延迟是全球导航卫星系统的主要误差之一。因此，全球电离层垂直总电子含量图自其早期建立以来一直是国际导航卫星系统服务内的一个重要大气产品。在这方面的贡献，一个增强的方法已被提出的全球VTEC的建模，其中的增强包括两个方面。首先，为了科普近年来新建立的Galileo和BeiDou星座的快速发展，我们将现有的双系统（GPS/GLONASS）方案扩展为四系统（GPS/GLONASS/Galileo/BeiDou）方案。更重要的是，该方法不使用基于载波码水准法的双频观测值，而是利用所有可用的三频信号，建立了一个通用的基于原始观测值的多频精密单点定位模型，可以兼容、灵活地处理双频、三频甚至任意频率的观测值。利用多频观测数据可以更加灵活、准确、可靠地反演四系统倾斜电离层延迟，并利用球谐函数建立全球VTEC模型。在此过程中，多GNSS差分码偏置（DCB）也被估计为副产品。2014年（太阳活动高）和2018年（太阳活动低）处理了IGS和多重全球导航卫星系统实验（MGEX）网络中分布在全球的400多个台站。全球VTEC与IGS最终产品进行了比较，并与JASON高度计的结果进行了验证。对于IGS最终产品，VTEC差异的平均RMS值为1.84（2014）和1.23（2018）TECU。相对于JASON结果的VTEC差异的标准差为4.71（2014）和2.82（2018）TECU，优于使用球谐函数生成的所有其他产品。此外，还使用欧洲轨道确定中心和MGEX的现有产品对多GNSS卫星DCB进行了验证。所有结果表明，该方法可以作为一种有效的和准确的方法，全球VTEC建模和DCB估计，特别是在未来的多频率和多GNSS的背景下。
The ionospheric delay accounts for one of the major errors that the Global Navigation Satellite Systems (GNSS) suffer from. Hence, the global ionosphere Vertical Total Electron Content (VTEC) map has been an important atmospheric product within the International GNSS Service (IGS) since its early establishment. In this contribution, an enhanced method has been proposed for the modeling of the global VTECs, in which the enhancements include two aspects. Firstly, to cope with the rapid development of the newly established Galileo and BeiDou constellations in recent years, we extend the current dual-system (GPS/GLONASS) solution to a quad-system (GPS/GLONASS/Galileo/BeiDou) solution. More importantly, instead of using dual-frequency observations based on the Carrier-to-Code Leveling method, all available triple-frequency signals are utilized with a general raw-observation-based multi-frequency Precise Point Positioning model, which can process dual-, triple- or even arbitrary-frequency observations compatibly and flexibly. Benefiting from this, quad-system slant ionospheric delays can be retrieved based on multi-frequency observations in a more flexible, accurate and reliable way, which are finally used to establish global VTEC models with the spherical harmonic function. In this process, multi-GNSS Differential Code Biases (DCBs) are also estimated as by-products. More than 400 globally distributed stations from the IGS and the Multi-GNSS Experiment (MGEX) networks have been processed in both 2014 (with high solar activity) and 2018 (with low solar activity). Global VTECs have been compared with the IGS final products, and the over-ocean VTECs are validated with the results from the JASON altimeter. The mean RMS values of the VTEC differences are 1.84 (2014) and 1.23 (2018) TECUs with respect to the IGS final products. The standard deviations of the VTEC differences with respect to the JASON results are 4.71 (2014) and 2.82 (2018) TECUs, outperforming all the other products generated with the spherical harmonic function. Additionally, multi-GNSS satellite DCBs have also been validated with the existing products from the Center for Orbit Determination in Europe and MGEX. All the results prove that the proposed method can be used as an effective and accurate approach for global VTEC modeling and DCB estimation, especially in the future multi-frequency and multi-GNSS context.
登录
查看更多内容
影响因子：
4.4
作者：
Ciraolo, L.;Azpilicueta, F.;Radicella, S. M.
通讯作者：
Radicella, S. M.
DOI：
--
发表时间：
1997
期刊：
--
影响因子：
--
作者：
A. Komjathy
通讯作者：
A. Komjathy
通过多 GNSS 观测确定差分代码偏差
影响因子：
4.4
作者：
Wang, Ningbo;Yuan, Yunbin;Tan, Bingfeng
通讯作者：
Tan, Bingfeng
DOI：
--
发表时间：
2013
期刊：
--
影响因子：
--
作者：
O. Montenbruck;P. Steigenberger;R. Khachikyan;G. Weber;R. Langley;L. Mervart;U. Hugentobler
通讯作者：
O. Montenbruck;P. Steigenberger;R. Khachikyan;G. Weber;R. Langley;L. Mervart;U. Hugentobler
影响因子：
4.4
作者：
Geng, Jianghui;Bock, Yehuda
通讯作者：
Bock, Yehuda