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A combination of multi-GNSS time transfer based on the fault-tolerant federated Kalman filter

文献类型：期刊论文

作者Wang, Weixiong2,3; Dong, Shaowu1,2,3; Wu, Wenjun1,2,3; Guo, Dong2,3; Gao, Zhe2,3; Zhang, Shougang1,2,3
刊名ADVANCES IN SPACE RESEARCH
出版日期2023-05-15
卷号71期号:10页码:4018-4029
ISSN号0273-1177
关键词GNSS Time transfer Combined link Fault-tolerant federated Kalman filter
DOI10.1016/j.asr.2022.12.043
英文摘要In order to make full use of multi-GNSS constellations for time transfer, we propose a multi-GNSS combination method based on the fault-tolerant federated Kalman filter. First, the single-constellation all-in-view (AV) or common view (CV) solutions were evaluated with their current constellation on long and short baselines. We show that Galileo basically provides time transfer performance that is better than other constellations. Then, taking the TAIPPP link as a reference, the bias determined as the average difference between each single-constellation AV/CV solution and TAIPPP was obtained. After all single-constellation solutions had been aligned to the TAIPPP link, the fault-tolerant federated Kalman filter was used to combine the constellations into one global solution, which was compared with the standard-deviation-weighted solutions, TAIPPP, and Galileo-only solutions. The results show that fault-tolerant federated Kalman combined solutions agree with the results of other time comparison methods, and its frequency stability is the highest for averaging times less than 1 x 104 s. On the long baseline of NTSC-PTB and NTSC-SP, the standard deviation gain factors for the double clock differences (DCD) of fault-tolerant federated Kalman combined solutions versus Galileo-only solutions against the TAIPPP link are 2.96 and 1.82, respectively. On the short baseline of SP-PTB and TP-PTB, the gain factors are 3.00 and 1.18, respectively. Finally, the robustness of the fault-tolerant federated Kalman filter was analyzed. And the results indicate that when the subsystem fails, the faulttolerant federated Kalman filter can quickly detect and isolate the fault, which ensures the accuracy of the global combined solutions and improves the robustness of the system. (c) 2023 COSPAR. Published by Elsevier B.V. All rights reserved.
WOS关键词GPS ; GLONASS
WOS研究方向Engineering ; Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000985916400001
源URL[http://210.72.145.45/handle/361003/14227]  
专题国家授时中心_时间频率基准实验室
通讯作者Dong, Shaowu
作者单位1.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Key Lab Time & Frequency Primary Stand, Xian 710600, Peoples R China
3.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Weixiong,Dong, Shaowu,Wu, Wenjun,et al. A combination of multi-GNSS time transfer based on the fault-tolerant federated Kalman filter[J]. ADVANCES IN SPACE RESEARCH,2023,71(10):4018-4029.
APA Wang, Weixiong,Dong, Shaowu,Wu, Wenjun,Guo, Dong,Gao, Zhe,&Zhang, Shougang.(2023).A combination of multi-GNSS time transfer based on the fault-tolerant federated Kalman filter.ADVANCES IN SPACE RESEARCH,71(10),4018-4029.
MLA Wang, Weixiong,et al."A combination of multi-GNSS time transfer based on the fault-tolerant federated Kalman filter".ADVANCES IN SPACE RESEARCH 71.10(2023):4018-4029.

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