Analysis of Influence Factors on Autonomous Time-maintenance Algorithm of Navigation Satellites
Abstract
This paper introduces the concept of autonomous system time, analyzes the autonomous system time of two different calculating models, and deduces a calculating model which is fit for the autonomous system time. When the autonomous system time is constructed, the effect of data interpolation method, data length, update frequency, and weighting solution are studied according to a weighting algorithm. The results show that with the same data length, update frequency, and data interpolation method, the stability is better when 1-hour stability is used to determine the weight, but the system time bias is slightly worse. The system time bias is better when 3-hour stability is used to determine the weight, but the mid-long term stability is slightly worse. The mid-long term stability is much more important for the autonomous system time, so it is more helpful for the improvement of the time performance when the weighting solution with 1-hour stability is employed.
- Publication:
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Acta Astronomica Sinica
- Pub Date:
- January 2018
- Bibcode:
- 2018AcASn..59....2Q
- Keywords:
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- astrometry;
- time;
- stability;
- methods: data analysis