Title: Characterising High Precision GNSS Receiver Positioning Performance using Internal Receiver Uncertainties from Repeatable Real World Signals
Author(s): Ahmad Ridhwanuddin Tengku, Allison Kealy, Simon Fuller
Published in: Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016)
September 12 - 16, 2016
Oregon Convention Center
Portland, Oregon
Pages: 2107 - 2122
Cite this article: Tengku, Ahmad Ridhwanuddin, Kealy, Allison, Fuller, Simon, "Characterising High Precision GNSS Receiver Positioning Performance using Internal Receiver Uncertainties from Repeatable Real World Signals," Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016), Portland, Oregon, September 2016, pp. 2107-2122.
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Abstract: In order to perform reliable comparisons between GNSS receivers, it is crucial that all receivers are tested under identical environmental and signal conditions. The RF Record and Playback System (RPS) enables GNSS RF signals to be recorded and replayed to any receiver for an infinite number of times. This capability is used as the basis for this investigation to identify the characteristics of high precision GNSS receivers. Current quality control measures that determine positioning uncertainty, in particular, stochastic modelling are mostly based on external factors. Despite such measures being well developed, it is still common for high precision receivers to calculate inaccurate coordinates and correspondingly generate misleading coordinate quality indicators. This research approaches quality control from a different perspective, whereby receiver performance is assessed by its internal receiver uncertainties. To identify this uncertainty, recorded real world signals were used for both static and kinematic scenarios. The focus of the analysis presented is to characterise the nature of this uncertainty. Experiments will indicate that internal receiver uncertainties are common in difficult signal environments. Similarly, these outputs will be shown to provide an objective measure for comparing receiver performance and better quality indicators.