Theory of carrier phase ambiguity resolution

Carrier phase ambiguity resolution is the key to high precision Global Navigation Satellite System (GNSS) positioning and navigation. It applies to a great variety of current and future models of GPS, modernized GPS and Galileo. A proper handling of carrier phase ambiguity resolution requires a prop...

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Main Author: Teunissen, Peter
Format: Journal Article
Published: Wuhan University, co-published with Springer 2003
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/47701
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author Teunissen, Peter
author_facet Teunissen, Peter
author_sort Teunissen, Peter
building Curtin Institutional Repository
collection Online Access
description Carrier phase ambiguity resolution is the key to high precision Global Navigation Satellite System (GNSS) positioning and navigation. It applies to a great variety of current and future models of GPS, modernized GPS and Galileo. A proper handling of carrier phase ambiguity resolution requires a proper understanding of the underlying theory of integer inference. In this contribution a brief review is given of the probabilistic theory of integer ambiguity estimation. We describe the concept of ambiguity pull-in regions, introduce the class of admissible integer estimators, determine their probability mass functions and show how their variability affect the uncertainty in the so-called ‘fixed’ baseline solution. The theory is worked out in more detail for integer least-squares and integer bootstrapping. It is shown that the integer least-squares principle maximizes the probability of correct integer estimation. Sharp and easy-to-compute bounds are given for both the ambiguity success rate and the baseline’s probability of concentration. Finally the probability density function of the ambiguity residuals is determined. This allows one for the first time to formulate rigorous tests for the integerness of the parameters.
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spelling curtin-20.500.11937-477012017-09-13T15:57:40Z Theory of carrier phase ambiguity resolution Teunissen, Peter GNSS - ambiguity resolution - integer least-squares Carrier phase ambiguity resolution is the key to high precision Global Navigation Satellite System (GNSS) positioning and navigation. It applies to a great variety of current and future models of GPS, modernized GPS and Galileo. A proper handling of carrier phase ambiguity resolution requires a proper understanding of the underlying theory of integer inference. In this contribution a brief review is given of the probabilistic theory of integer ambiguity estimation. We describe the concept of ambiguity pull-in regions, introduce the class of admissible integer estimators, determine their probability mass functions and show how their variability affect the uncertainty in the so-called ‘fixed’ baseline solution. The theory is worked out in more detail for integer least-squares and integer bootstrapping. It is shown that the integer least-squares principle maximizes the probability of correct integer estimation. Sharp and easy-to-compute bounds are given for both the ambiguity success rate and the baseline’s probability of concentration. Finally the probability density function of the ambiguity residuals is determined. This allows one for the first time to formulate rigorous tests for the integerness of the parameters. 2003 Journal Article http://hdl.handle.net/20.500.11937/47701 10.1007/BF02899809 Wuhan University, co-published with Springer fulltext
spellingShingle GNSS - ambiguity resolution - integer least-squares
Teunissen, Peter
Theory of carrier phase ambiguity resolution
title Theory of carrier phase ambiguity resolution
title_full Theory of carrier phase ambiguity resolution
title_fullStr Theory of carrier phase ambiguity resolution
title_full_unstemmed Theory of carrier phase ambiguity resolution
title_short Theory of carrier phase ambiguity resolution
title_sort theory of carrier phase ambiguity resolution
topic GNSS - ambiguity resolution - integer least-squares
url http://hdl.handle.net/20.500.11937/47701