Improving the Performance of Multi-GNSS Time and Frequency Transfer Using Robust Helmert Variance Component Estimation

被引:9
作者
Zhang, Pengfei [1 ,2 ,3 ]
Tu, Rui [1 ,3 ,4 ]
Gao, Yuping [1 ,2 ]
Zhang, Rui [1 ,4 ]
Liu, Na [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, Natl Time Serv Ctr, Shu Yuan Rd, Xian 710600, Shaanxi, Peoples R China
[2] Chinese Acad Sci, Key Lab Time & Frequency Primary Stand, Xian 710600, Shaanxi, Peoples R China
[3] Univ Chinese Acad Sci, Yu Quan Rd, Beijing 100049, Peoples R China
[4] Chinese Acad Sci, Key Lab Precis Nav Positioning & Timing Technol, Xian 710600, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
time and frequency transfer; multi-GNSS; robust estimation; Helmert variance component; COMBINING GPS; GLONASS; PHASE; BEIDOU; VIEW;
D O I
10.3390/s18092878
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The combination of multiple Global Navigation Satellite Systems (GNSSs) may improve the performance of time and frequency transfers by increasing the number of available satellites and improving the time dilution of precision. However, the receiver clock estimation is easily affected by the inappropriate weight of multi-GNSSs due to the different characteristics of individual GNSS signals as well as the outliers from observations. Thus, we utilised a robust Helmert variance component estimation (RVCE) approach to determine the appropriate weights of different GNSS observations, and to control for the influence of outliers in these observation in multi-GNSS time and frequency transfer. In order to validate the effectiveness of this approach, four time links were employed. Compared to traditional solutions, the mean improvement of smoothed residuals is 3.43% using the RVCE approach. With respect to the frequency stability of the time links, the RVCE solution outperforms the traditional solution, particularly in the short-term, and the mean improvement is markedly high at 14.89%.
引用
收藏
页数:13
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