Abstract: | Global positioning and navigation relies on Global Navigation Satellite Systems (GNSSs), the best known among these being the Global Positioning System (GPS), followed by the GLObal NAvigation Satellite System (GLONASS). With ongoing development of the Galileo and Compass satellite navigation systems, it appears that multi-GNSS data processing will become the norm over the next 20 years. It is now an opportune moment to evaluate and develop the potential benefits that may accrue from processing multi-GNSS data. The desire to pursue such an opportunity has given rise to the Multi- GNSS Observables Simulator (MGOS), a modular opensource simulation package developed during the course of this research to study multi-GNSS scenarios involving multiple receiver platforms. MGOS is capable of simulating data for multiple GNSSs at varying levels of realism. To verify that MGOS can generate highly realistic data, its GPS simulation capabilities have been tested using a set of high-grade data processors. Data for a single station was simulated and then exported to the Receiver INdependent EXchange (RINEX) format to be processed by the external data processors. The obtained results for a static station show that generated data files can yield centimetre-level accuracy even when simulated data is double-differenced with real data. Despite this, further improvements to MGOS may be necessary to further enhance its simulation capabilities. Thanks to its open-source and modular nature, such improvements can be accomplished easily. |
Published in: |
Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010) September 21 - 24, 2010 Oregon Convention Center, Portland, Oregon Portland, OR |
Pages: | 892 - 899 |
Cite this article: | Bisnath, S., Dolgansky, A., Szeto, A., "Development of a Software-based Multi-GNSS Observable Simulator," Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010), Portland, OR, September 2010, pp. 892-899. |
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