A unified model of multi-GNSS and multi‑frequency precise point positioning for the joint estimation of ionospheric TEC and time-varying receiver code bias

IF 3.9 2区 地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS Journal of Geodesy Pub Date : 2024-02-07 DOI:10.1007/s00190-023-01808-z
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Abstract

The short-term variability in receiver code biases (RCBs) has been identified as a prominent source of error leading to the degradation of precise point positioning (PPP) performance and ionospheric total electron content (TEC) estimation accuracy. To minimize the adverse impact of RCB variability, this study extends the modified PPP (MPPP) method from the GPS only dual-frequency (DF) model to multifrequency (MF) and multiconstellation cases. In the MF MPPP method, multi-GNSS (GPS, BDS and Galileo) dual-, triple- or even arbitrary-frequency observations can be jointly processed in a flexible and reliable way by taking the time-varying RCBs of all available signals into account. Benefiting from this, the between-epoch fluctuations experienced by RCBs for all constellations and frequencies can be detected and their adverse impacts on the ionospheric observables and ambiguity parameters are mitigated. Compared to the traditional MF PPP method, the retrieval accuracy of the multi-GNSS-based ionospheric observables using our proposed method can be improved by more than 74% in the presence of significant intraday RCB variations. The variation trends are not always consistent for RCBs in different frequency bands for different satellite systems. The dependence of multi-GNSS and MF RCB variations on the ambient temperature is also verified. The percentages of the stations analyzed with the absolute Pearson correlation coefficient (PCC) values above 0.8 for BDS are higher than those of GPS and Galileo, and the temperature dependence of RCB on the second frequency band is higher than those of the first frequency band for all the three constellations.

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联合估计电离层 TEC 和时变接收器编码偏差的多全球导航卫星系统和多频率精确点定位统一模型
摘要 接收机码偏差(RCB)的短期变化已被确定为导致精确点定位(PPP)性能和电离层电子总含量(TEC)估计精度下降的一个主要误差来源。为了尽量减少 RCB 变异的不利影响,本研究将修正的 PPP(MPPP)方法从 GPS 唯一的双频(DF)模型扩展到多频(MF)和多星座情况。在多频 MPPP 方法中,通过考虑所有可用信号的时变 RCB,可以灵活可靠地联合处理多全球导航卫星系统(GPS、BDS 和伽利略)的双频、三频甚至任意频率观测数据。得益于此,可以检测到所有星座和频率的 RCB 所经历的波段间波动,并减轻其对电离层观测值和模糊参数的不利影响。与传统的 MF PPP 方法相比,在 RCB 日内变化显著的情况下,使用我们提出的方法对基于多重全球导航卫星系统的电离层观测数据进行检索的准确性可提高 74% 以上。不同卫星系统不同频段的 RCB 的变化趋势并不总是一致的。多全球导航卫星系统和中频 RCB 变化与环境温度的关系也得到了验证。在所分析的台站中,BDS 的绝对皮尔逊相关系数(PCC)值超过 0.8 的台站所占百分比高于 GPS 和伽利略,而且所有三个星座的 RCB 对第二频段的温度依赖性均高于第一频段。
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来源期刊
Journal of Geodesy
Journal of Geodesy 地学-地球化学与地球物理
CiteScore
8.60
自引率
9.10%
发文量
85
审稿时长
9 months
期刊介绍: The Journal of Geodesy is an international journal concerned with the study of scientific problems of geodesy and related interdisciplinary sciences. Peer-reviewed papers are published on theoretical or modeling studies, and on results of experiments and interpretations. Besides original research papers, the journal includes commissioned review papers on topical subjects and special issues arising from chosen scientific symposia or workshops. The journal covers the whole range of geodetic science and reports on theoretical and applied studies in research areas such as: -Positioning -Reference frame -Geodetic networks -Modeling and quality control -Space geodesy -Remote sensing -Gravity fields -Geodynamics
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