Performance of Long-Baseline Real-Time Kinematic Applications by Improving Tropospheric Delay Modeling

Don Kim, Sunil Bisnath, Richard B. Langley and Peter Dare

Abstract:	The University of New Brunswick and the University of Southern Mississippi are carrying out a long-term experiment in precise GPS positioning over long distances in a marine environment. The primary goal of the study, over the course of one year of data collection from daily marine ferry runs, realizing that the differential troposphere is a major limiting factor in marine positioning, is to attempt to advance positioning results by means of improved differential tropospheric modeling. The most common approach for achieving high accuracies with GPS technology is real-time kinematic (RTK) positioning. We considered two basic requirements for long-baseline RTK. Firstly, although we process the ferry data in post-processing mode at this stage, our new approach is based on real-time data processing scenarios for actual implementation in the future. Secondly, the new approach provides positioning solutions using fixed ambiguities rather than ionosphere-free float ambiguities. Initial RTK data processing results are presented illustrating positioning accuracy versus baseline length. And results from tests using two different tropospheric delay models are presented.
Published in:	Proceedings of the 17th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2004) September 21 - 24, 2004 Long Beach Convention Center Long Beach, CA
Pages:	1414 - 1422
Cite this article:	Kim, Don, Bisnath, Sunil, Langley, Richard B., Dare, Peter, "Performance of Long-Baseline Real-Time Kinematic Applications by Improving Tropospheric Delay Modeling," Proceedings of the 17th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2004), Long Beach, CA, September 2004, pp. 1414-1422.
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