GNSS Timing Performance Assessment and Results Analysis
Abstract
:1. Introduction
2. The Key Indicators and Assessment Method of GNSS Timing Performance
2.1. Principle of GNSS Timing
2.2. Assessment Method of GNSS Time Transfer Accuracy
2.2.1. Assessment Principle of GNSS Time Transfer Accuracy
2.2.2. The Key Technology of GNSS Time Transfer Accuracy Assessment
2.2.3. Data Processing Strategy of GNSS Time Transfer Accuracy Assessment
2.3. Uncertainty Budget
3. Assessment Result and Analysis
4. Conclusions
- The time transfer accuracy refers to the 95% probability level of the instantaneous differences between the estimated receiver time offset from a reference realization of UTC and the true offset over a specified time interval. According to the GNSS time principle, time transfer accuracy is considered as the key GNSS timing performance assessment indicator.
- An assessment method of time transfer accuracy was proposed on the basis of UTC(NTSC) as an intermediate timescale and UTC/UTC(k) as a reference timescale, and the uncertainty budget was determined. If the local reference time of GNSS users can connect with UTC, this assessment method can be used.
- The assessment results show that the time transfer accuracy of BDS, GPS, GLONASS, and Galileo was 13.8 ns, 4.5 ns, 16.8 ns, and 4.2 ns respectively, meeting their performance requirements. Specifically, the time transfer accuracy of Galileo was the best, while that of GLONASS was the worst. Furthermore, the time transfer accuracy of GPS and Galileo was much better than their requirement, while the time transfer accuracy of BDS and GLONASS showed a fixed time offset and can still be improved further.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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GNSS | BDS | GPS | GLONASS | Galileo |
---|---|---|---|---|
SISE (m) | 0.7 | 1.0 | 2.3 | 0.8 |
UEE (m) | 1.6 | 1.6 | 1.6 | 1.6 |
UERE (m) | 1.7 | 1.9 | 2.8 | 1.8 |
GNSS | BDS | GPS | GLONASS | Galileo | |
---|---|---|---|---|---|
(ns) | 1.8 | 2.2 | 3.8 | 2.4 | |
(ns) | 3.0 | 1.3 | 1.7 | 0.5 | |
(ns) | UTCr–UTC(NTSC) | 0.7 | 0.7 | 0.7 | 0.7 |
UTCr–UTC(k) | / | 0.2 | 0.4 | / | |
(ns) | 3.6 | 2.7 | 4.2 | 2.5 |
BDS | GPS | GLONASS | Galileo | |
---|---|---|---|---|
95% (ns) | 13.8 | 4.5 | 16.8 | 4.2 |
AVG (ns) | −10.2 | 2.6 | −11.9 | 1.6 |
STD (ns) | 2.0 | 1.2 | 3.6 | 2.0 |
MAX (ns) | 15.4 | 6.3 | 31.2 | 5.8 |
RMS (ns) | 10.4 | 2.9 | 12.5 | 2.5 |
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Zhu, L.; Zhang, H.; Li, X.; Zhu, F.; Liu, Y. GNSS Timing Performance Assessment and Results Analysis. Sensors 2022, 22, 2486. https://doi.org/10.3390/s22072486
Zhu L, Zhang H, Li X, Zhu F, Liu Y. GNSS Timing Performance Assessment and Results Analysis. Sensors. 2022; 22(7):2486. https://doi.org/10.3390/s22072486
Chicago/Turabian StyleZhu, Lin, Huijun Zhang, Xiaohui Li, Feng Zhu, and Yinhua Liu. 2022. "GNSS Timing Performance Assessment and Results Analysis" Sensors 22, no. 7: 2486. https://doi.org/10.3390/s22072486
APA StyleZhu, L., Zhang, H., Li, X., Zhu, F., & Liu, Y. (2022). GNSS Timing Performance Assessment and Results Analysis. Sensors, 22(7), 2486. https://doi.org/10.3390/s22072486