Characterizing GPS Signal Deformations using the WAAS Signal Quality Monitor

R. Eric Phelts and Todd Walter

Abstract:	This paper develops a method to estimate and characterize GPS codes distortions using WAAS signal quality monitor data. It leverages previously proposed signal models to map monitor metrics into generalized model waveform parameters that best approximate the signal. The modeled waveforms are then used to analyze signal characteristics and generate range error estimates that can be used to assess the assumptions for GPS signals and WAAS monitor performance. This includes comparisons to specifications for nominal GPS signal deformation and also assumptions for acceptable WAAS user range errors in the presence of one anomaly event. It is shown that these assumptions continue to hold and that this method may provide a complement to high-gain dish antenna measurements for assessing the effects of signal deformations in GNSS receivers on an ongoing basis.
Published in:	Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022) September 19 - 23, 2022 Hyatt Regency Denver Denver, Colorado
Pages:	1 - 11
Cite this article:	Phelts, R. Eric, Walter, Todd, "Characterizing GPS Signal Deformations using the WAAS Signal Quality Monitor," Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), Denver, Colorado, September 2022, pp. 1-11. https://doi.org/10.33012/2022.18304
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