Estimation of multi-constellation GNSS observation stochastic properties using single receiver single satellite data validation method

Abstract

The single receiver single satellite validation method is a technique that screens data from each satellite independently to detect and identify faulty observations. A new method for estimation of the stochastic properties of multi-constellation GNSS observation is presented utilising parameters of this validation method. Agreement of the characteristics of the validation statistics with theory is used as the criterion to select the best precision of the observations, spectral density and correlation time of the unknowns. A curve fitting approach in an iterative scheme is employed. The method is applicable to any GNSS with any arbitrary number of frequencies. Demonstration of the method results and performance is given using multiple-frequency data from GPS, GLONASS and Galileo in static and kinematic modes.

Keywords:

• Data validation
• GNSS
• Observation precision
• Stochastic properties

Acknowledgements

The author would like to thank Prof. P. J. G. Teunissen for his suggestions and comments. The GNSS research centre of Curtin University is acknowledged for providing the data used in this study. This work was supported by an IRG grant, project number 47606, from Curtin University, Australia.