GPS and GLONASS Integration: Modeling and Ambiguity Resolution Issues |
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| Authors: | Jinling Wang Chris Rizos Mike P. Stewart Alfred Leick |
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| Affiliation: | (1) School of Geomatic Engineering, The University of New South Wales, Sydney, NSW 2052, Australia, AU;(2) Department of Spatial Sciences, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia, AU;(3) Department of Spatial Information Science and Engineering, University of Maine, 5711 Boardman Hall, Orono, ME 04469-5711, USA, US |
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| Abstract: | The integration of GPS with GLONASS may be considered a major milestone in satellite-based positioning, because it can dramatically improve the reliability and productivity of said positioning. However, unlike GPS, GLONASS satellites transmit signals at different frequencies, which result in significant complexity in terms of modeling and ambiguity resolution for integrated GPS and GLONASS positioning systems. In this paper, a variety of mathematical and stochastic modeling methodologies and ambiguity resolution strategies are analyzed, and some remaining research challenges are identified. The exercise, of developing mathematical models and processing methodologies for integrated systems based on more than one satellite system, is a valuable one as it identified crucial issues concerned with the combination of any two or more microwave positioning systems, be they satellite-based or terrestrial. Hence these are experiences that can be applied to future projects that might integrate GPS with Galileo, or GLONASS and Galileo, or all three. ? 2001 John Wiley & Sons, Inc. |
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