PDF Evaluation of Elliptically Contoured GNSS Integer Ambiguity Residuals

Conference Paper (2023)
Author(s)

Peter J.G. Teunissen (Curtin University, TU Delft - Civil Engineering & Geosciences, University of Melbourne)

Sandra Verhagen (TU Delft - Civil Engineering & Geosciences)

Research Group
Mathematical Geodesy and Positioning
DOI related publication
https://doi.org/10.1007/1345_2023_204 Final published version
More Info
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Publication Year
2023
Language
English
Research Group
Mathematical Geodesy and Positioning
Article number
204
Pages (from-to)
57-63
Publisher
Springer
ISBN (print)
9783031553592
Event
10th Hotine-Marussi Symposium on Mathematical Geodesy, 2022 (2022-06-13 - 2022-06-17), Milan, Italy
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Abstract

In this contribution we will present and evaluate the joint probability density function (PDF) of the multivariate integer GNSS carrier phase ambiguity residuals, thereby assuming that the GNSS data belong to the very general class of elliptically contoured (EC) distributions. Examples of distributions belonging to this class are the multivariate normal distribution, the t-distribution and the contaminated normal distribution. Since the residuals and their properties depend on the integer estimation principle used, we will present the PDF of the ambiguity residuals for the whole class of admissible integer estimators. This includes the estimation principles of integer rounding, integer bootstrapping, and integer least squares. The probabilistic properties of these estimators vary with the distributions from the EC-class. In order to get a better understanding of the various features of the joint PDF of the ambiguity residuals we will use a step-by-step construction aided by graphical means.