Combining TWSTFT and GPS PPP using a Kalman filter

doi:10.1007/s10291-021-01173-4

	Combining TWSTFT and GPS PPP using a Kalman filter
	Wang, Weixiong 1,2,3; Dong, Shaowu 1,2,3; Wu, Wenjun 1,2,3; Guo, Dong 2,3; Wang, Xiang 2,3; Song, Huijie 2,3
刊名	GPS SOLUTIONS
	2021-10-01
卷号	25 期号:4 页码:12
关键词	TWSTFT GPS PPP Time transfer Combination link Kalman filter
ISSN号	1080-5370
DOI	10.1007/s10291-021-01173-4
英文摘要	Two-way satellite time and frequency transfer (TWSTFT) and GPS precise point positioning (GPS PPP) time transfer are two independent techniques for the generation of coordinated universal time. The advantages of TWSTFT are its high accuracy, characterized by calibration uncertainty, and long-term stability, but studies have shown that TWSTFT is disturbed by diurnal variations. Its short-term stability and high resolution characterize GPS PPP. However, GPS PPP solutions contain day boundary discontinuities that are reflected in their relatively lower long-term stability. Therefore, combining TWSTFT and GPS PPP based on their respective advantages effectively improves the robustness of accurate time transfer. We present a time transfer combination method based on the Kalman filter. As the average rate of TWSTFT results, the derivative of GPS PPP results together with TWSTFT data is used as observation measurements. A Kalman filter then obtains the final combined solution. Consequently, the diurnal variations that exist in TWSTFT practically disappear in the combined solution on different baselines, and the short-term stability of the combination is significantly improved. On different baselines, the time deviation (TDEV) of the combination solution at short averaging times (up to 32 h) is approximately 4-8 times lower than the solution using only data of TWSTFT. The TDEV of the Kalman filter combined solution is also better than the Vondrak-Cepek combined solution and GPS PPP solution for averaging times less than 4 h. This may be related to the Kalman filter being an optimal estimation method, which requires more observation information than the Vondrak-Cepek combined filter.
资助项目	National Natural Science Foundation of China[11703030] ; Western Light Young Scholars Project of Chinese Academy of Sciences[XAB2017A06]
WOS关键词	TIME TRANSFER ; SATELLITE TIME ; RECEIVERS
WOS研究方向	Remote Sensing
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000688445000001
资助机构	National Natural Science Foundation of China ; National Natural Science Foundation of China ; Western Light Young Scholars Project of Chinese Academy of Sciences ; Western Light Young Scholars Project of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Western Light Young Scholars Project of Chinese Academy of Sciences ; Western Light Young Scholars Project of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Western Light Young Scholars Project of Chinese Academy of Sciences ; Western Light Young Scholars Project of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Western Light Young Scholars Project of Chinese Academy of Sciences ; Western Light Young Scholars Project of Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://210.72.145.45/handle/361003/10558]
专题	国家授时中心_量子频标研究室国家授时中心_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. Combining TWSTFT and GPS PPP using a Kalman filter[J]. GPS SOLUTIONS,2021,25(4):12.
APA	Wang, Weixiong,Dong, Shaowu,Wu, Wenjun,Guo, Dong,Wang, Xiang,&Song, Huijie.(2021).Combining TWSTFT and GPS PPP using a Kalman filter.GPS SOLUTIONS,25(4),12.
MLA	Wang, Weixiong,et al."Combining TWSTFT and GPS PPP using a Kalman filter".GPS SOLUTIONS 25.4(2021):12.