On the reduction and analysis for GPS common view data

Statistics – Computation

Scientific paper

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Gps Common View, Data Reduction, Error Analysis

Scientific paper

It is necessary for an atomic time scale consisting of many atomic clocks distributed at remote time labs to have a time link network. Though a few baselines of the Two Way Satellite Time Transfer have been introduced into TAI computation, GPS Common View (GPS CV) will still be the main means for TAI as well as other time scales such as the Joint Atomic Time of China (JATC). The reduction and analysis on the data of GPS CV are important for improving the precision and accuracy of the time links. The GPS CV data of CRL-CSAO for about 18 months as well as those with different lengths of baselines in the world have been analyzed. The errors in the adopted coordinates of the antenna (?Ucoor) were the main source of errors for CSAO before the end of May 2000. The noisy receiver at CSAO causes a larger RMS in the data of CRL-CSAO than those for CRL-NAO and CRL-KRIS. The way for calculating the statistical corrections is described and the methods for obtaining the corrections for the systematic errors caused by the inaccuracy of the satellite ephemeris (?UE) and the ionosphere model (?UION) are explained. It is expectable that the uncertainty of the GPS CV could reach 2~3 ns for both short and long baselines if the main systematic errors ?Ucoor???UE and ?UION can be removed and the low noise receiver with temperature stabilized antenna as well as the choke ring for anti-multi-path interference can be used.

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