Real-Time Estimating Different Types of BDS Observations Stochastic Model

YAN Li; LI Meng; MEI Xi; LU Jiankang

doi:10.13203/j.whugis20141006

Volume 42 Issue 2

Feb. 2017

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Geomatics and Information Science of Wuhan University > 2017 > 42(2): 263-269. > DOI: 10.13203/j.whugis20141006

YAN Li, LI Meng, MEI Xi, LU Jiankang. Real-Time Estimating Different Types of BDS Observations Stochastic Model[J]. Geomatics and Information Science of Wuhan University, 2017, 42(2): 263-269. DOI: 10.13203/j.whugis20141006

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Real-Time Estimating Different Types of BDS Observations Stochastic Model

YAN Li^1,,
LI Meng^2, ,,
MEI Xi³,
LU Jiankang³

1.
State-province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety, Chengdu 610031, China
2.
College of Earth Science, Chengdu University of Technology, Chengdu 610059, China
3.
China Railway Eryuan Engineering Group co. ltd, Chengdu 610031, China

Funds:

The National Natural Science Foundation of China No. 41374032

2013 Doctoral Innovation Fund in Southwest Jiaotong University and the Fundamental Research Funds in Central Universities

More Information

Author Bio:
YAN Li, PhD, specializes in GNSS data processing.yanli20060675@foxmail.com
Corresponding author:
LI Meng, PhD, lecturer. E-mail:nemon818@163.com.
Received Date: September 19, 2015
Published Date: February 04, 2017

Graphical Abstract

Abstract

Abstract

In order to analze the stochastic characteristics of BDS (BeiDou satellites) observations, GEO(geostationary earth orbit),IGSO(inclined geosynchronous satellite orbit),MEO(medium earth orbit) satellites observations variance components are estimated. The observation variance components of different receivers and different types of BDS are proved to be significantly different in size and time-varying characteristics. To deal with the heterogeneous variances, a real-time estimating BDS observations stochastic model procedure is developed with the methods of iterative least-squares and MINQUE(minimum norm quadratic unbiased estimation).To demonstrate its performance, precise relative positioning experiments are carried out using 243m, 645m and 10 137 m baselines, respectively. In contrast to the empirical stochastic model, the real-time estimating stochastic model can improve the performance of BDS precise relative positioning, and improve more significantly for the longest baseline.10 137 m baseline test results indicate that the real-time estimating stochastic model can improve mean positioning precision 41.3%、54.5%、51.6% and RMS values of multi-epoch position offsets 38.4%、17.7%、39.7% in N(north), E(east), U(up) direction respectively.
- BDS,
- stochastic model,
- variance component,
- precise relative positioning

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References (33)

References

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