Open AccessThe research on carrier phase time transfer method based on least curve fitting
Author(s) -
Xianglei Wang,
Shoufang Xu,
Jing-Xuan Xu,
Fei Zeng
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/783/1/012091
Subject(s) - jump , transfer (computing) , curve fitting , correctness , stability (learning theory) , phase (matter) , computer science , reliability (semiconductor) , time transfer , transfer function , mathematics , control theory (sociology) , algorithm , statistics , physics , thermodynamics , engineering , telecommunications , power (physics) , quantum mechanics , machine learning , parallel computing , electrical engineering , control (management) , artificial intelligence , global positioning system
The method of continuous GNSS carrier phase time transfer is studied in detail, and the cause of jump in carrier phase time transfer results is analyzed. The relationship between multi-day data jump and daily jump is deduced in theory, and the correctness of the deduced result is verified by the calculation result of actual measured data. Solution is given to abnormal data jump in carrier phase time transfer. A continuous time transfer method based on least square curve fitting is proposed to deal with abnormal jumps in observation data, this method uses the least square curve fitting algorithm to fit and replace the observed data at abnormal moments to achieve continuous time transfer. The method proposed in this paper are validated and analyzed with the actual measured data, and compared with the traditional GNSS carrier phase time transfer solution. The results show that the methos given in this paper can solve the problem of abnormal data jump to a certain extent, effectively improve the continuity, availability and reliability of time transfer results, and also improve the frequency stability of time transfer results.