National Time Service Center, Chinese Academy of Sciences Young Innovative Talents (No.NTSC青创201804);West Light Foundation of The Chinese Academy of Sciences (B Class Youth Scholars) (No.XAB2019B13);National Natural Science Foundation of China (No.11773030)
ZHANG Ji-hai, DONG Shao-wu, YUAN Hai-bo, et al. Research of GPS PPP Based on Weighted State Covariance Matrix[J]. Acta Electronica Sinica, 2020, 48(11): 2196-2201.
DOI:
ZHANG Ji-hai, DONG Shao-wu, YUAN Hai-bo, et al. Research of GPS PPP Based on Weighted State Covariance Matrix[J]. Acta Electronica Sinica, 2020, 48(11): 2196-2201. DOI: 10.3969/j.issn.0372-2112.2020.11.014.
Research of GPS PPP Based on Weighted State Covariance Matrix
The precision clock and zenith tropospheric delay (ZTD) are important parameters of GPS PPP solution. In this paper
the state covariance matrix based on update iteration is used for the weight calculation in GPS PPP data processing. The results of PPP are estimated by using one-way and two-way filtering weighted in time comparison and ZTD. The results show that in the PPP zero-baseline common clock comparison
the standard deviation to the time difference of the weighted is significantly better than that of the one-way
and the deviation is increased by more than 30%. The result of frequency stability is estimated with weighted is equivalent to the Bureau International des Poids et Mesures in time comparison. And the root mean square of residual to the final results between two methods and the results published by the IGS for the ZTD
the results of the weighted estimation are also slightly improved.
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