Differential code bias estimation based on uncombined PPP with LEO onboard GPS observations

被引:9
作者
Zhou, Peiyuan [1 ]
Nie, Zhixi [1 ,2 ]
Xiang, Yan [3 ]
Wang, Jin [1 ,4 ]
Du, Lan [5 ]
Gao, Yang [1 ]
机构
[1] Univ Calgary, Schulich Sch Engn, Calgary, AB, Canada
[2] China Univ Petr, Sch Geosci, Qingdao, Peoples R China
[3] Samsung Semicond Inc, San Jose, CA USA
[4] Changan Univ, Coll Geol Engn & Geomat, Xian, Peoples R China
[5] Zhengzhou Inst Surveying & Mapping, Zhengzhou, Peoples R China
基金
加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
关键词
Uncombined PPP; Swarm mission; DCB estimation; Total electron content; IONOSPHERIC OBSERVABLES; VTEC; TEC;
D O I
10.1016/j.asr.2019.10.005
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Differential Code Bias (DCB) is an essential correction that must be provided to the Global Navigation Satellite System (GNSS) users for precise position determination. With the continuous deployment of Low Earth Orbit (LEO) satellites, DCB estimation using observations from GNSS receivers onboard the LEO satellites is drawing increasing interests in order to meet the growing demands on high-quality DCB products from LEO-based applications, such as LEO-based GNSS signal augmentation and space weather research. Previous studies on LEO-based DCB estimation are usually using the geometry-free combination of GNSS observations, and it may suffer from significant leveling errors due to non-zero mean of multipath errors and short-term variations of receiver code and phase biases. In this study, we utilize the uncombined Precise Point Positioning (PPP) model for LEO DCB estimation. The models for uncombined PPP-based LEO DCB estimation are presented and GPS observations acquired from receivers onboard three identical Swarm satellites from February 1 to 28, 2019 are used for the validation. The results show that the average Root Mean Square errors (RMS) of the GPS satellite DCBs estimated with onboard data from each of the three Swarm satellites using the uncombined PPP model are less than 0.18 ns when compared to the GPS satellite DCBs obtained from IGS final daily Global Ionospheric Map (GIM) products. Meanwhile, the corresponding average RMS of GPS satellite DCBs estimated with the conventional geometry-free model are 0.290, 0.210, 0.281 ns, respectively, which are significantly larger than those obtained with the uncombined PPP model. It is also noted that the estimated GPS satellite DCBs by Swarm A and C satellites are highly correlated, likely attributed to their similar orbit type and space environment. On the other hand, the Swarm receiver DCBs estimated with uncombined PPP model, with Standard Deviation (STD) of 0.065, 0.037 and 0.071 ns, are more stable than those obtained from the official Swarm Level 2 products with corresponding STD values of 0.115, 0.101, and 0.109 ns, respectively. The above indicates that high-quality DCB products can be estimated based on uncombined PPP with LEO onboard observations. (C) 2019 COSPAR. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:541 / 551
页数:11
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