Robust GNSS Differential Processing for All Baselines

Corwin G. Olson, Brian W. Tolman

Abstract:	Applied Research Laboratories, The University of Texas (ARL:UT) has developed a differential processor titled “ProcNet” to support high-precision short-baseline surveys performed by the National Geospatial-Intelligence Agency (NGA) for the Air Force’s Holloman High Speed Test Track. ProcNet eliminates many of the limitations of the legacy differential processor titled “DDBase” that is currently employed, including rigorously processing dual frequency observations and allowing the use of ANTEX antenna models. ProcNet provides improved robustness and performance as compared to DDBase, particularly when dual frequency observations are used. Initial analysis indicates short baseline precision improvements ranging from 30 to 50%, with a notable precision increase in the vertical direction. Robustness is improved by employing undifferenced GNSS observations via a rearrangement of the observation equations instead of the traditional approach using double differenced values. ProcNet is part of a new unified processing architecture developed at ARL:UT that provides both Precise Point Positioning and Differential Positioning capabilities. As a result of the new architecture, ProcNet can employ site displacement and measurement models that are traditionally used for Precise Point Positioning solutions to enable better relative solutions for long baselines.
Published in:	Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018) September 24 - 28, 2018 Hyatt Regency Miami Miami, Florida
Pages:	3927 - 3944
Cite this article:	Olson, Corwin G., Tolman, Brian W., "Robust GNSS Differential Processing for All Baselines," Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018), Miami, Florida, September 2018, pp. 3927-3944. https://doi.org/10.33012/2018.16041
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