Research and Application of Quasi-Stable Adjustment Method in GNSS Time Series Restoration
Abstract Aiming at the problem of missing CORS coordinate time series, we propose a time series interpolation method based on GNSS network quasi-stable adjustment. We select relatively stable stations in the region, construct a baseline network, and use the quasi-stable adjustment method to repair the missing sequence based on the trend changes of stable stations. Through simulation experiments, we find that the quasi-stable adjustment method has the best repair effect, with an average error of within 5 mm, retaining the motion trend of the original data. We use the quasi-stable adjustment method to simulate the 365 d coordinate series of the point to be solved, and we compare it with the real series. The trend changes of the simulation series and the real series are basically consistent. The average error in the E and N directions is within 5 mm, and the average error in the U direction is within 10 mm.
Key words :
quasi-stable adjustment
GNSS coordinate time series
interpolation
indirect adjustment
simulation data
Cite this article:
QI Cong,DANG Yamin,YANG Qiang. Research and Application of Quasi-Stable Adjustment Method in GNSS Time Series Restoration[J]. jgg, 2024, 44(1): 16-20.
QI Cong,DANG Yamin,YANG Qiang. Research and Application of Quasi-Stable Adjustment Method in GNSS Time Series Restoration[J]. jgg, 2024, 44(1): 16-20.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2024/V44/I1/16
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