Research and Case Analysis of Estimation Method Based on Kalman Filtering for Geodetic Parameters from GNSS Networks

doi:10.13474/j.cnki.11-2246.2017.0004

Abstract

Abstract: Focusing on the shortcomings of traditional methods, theory and key technologies with using Kalman filtering were researched for estimating geodetic parameters from GNSS network, such as station coordinates, satellite orbits and polar motion parameters. Then the achievements were verified with days of observations from 40 globally distributed IGS stations. The results indicated that the RMS values of the difference between IGS station coordinates estimated here and that advised by IGS were 0.85, 1.1 and 1.21 cm in X, Y, Z direction respectively. The RMS values achieved in the similar way for the IGS final orbits and that acquired by extrapolating for an hour with the orbit parameters estimated here were 9.8, 8.6 and 7.2 cm. The difference between the estimated polar motion parameters and those advised by IERS were mostly within 1 mas. The results showed that the algorithm used here was precise and could be utilized to estimate the geodetic parameters from GNSS networks.

Key words: Kalman filtering, large scale GNSS network, systematic error, datum definition

CLC Number:

P228

WANG Zheng, ZHOU Jian. Research and Case Analysis of Estimation Method Based on Kalman Filtering for Geodetic Parameters from GNSS Networks[J]. 测绘通报, 2017, 0(1): 18-21,47.

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