Low-Complexity Instantaneous Ambiguity Resolution with the Affine-Constrained GNSS Attitude Model

In this contribution a new approach to ambiguity resolution for Global Navigation Satellite System (GNSS)-based attitude estimation applications is discussed and tested. This approach enhances the observation model by means of additional linear constraints. These constraints are implicitly derived b...

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Main Authors: Giorgi, G., Teunissen, Peter
Format: Journal Article
Published: Institute of Electrical and Electronics Engineers 2013
Online Access:http://hdl.handle.net/20.500.11937/14997
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author Giorgi, G.
Teunissen, Peter
author_facet Giorgi, G.
Teunissen, Peter
author_sort Giorgi, G.
building Curtin Institutional Repository
collection Online Access
description In this contribution a new approach to ambiguity resolution for Global Navigation Satellite System (GNSS)-based attitude estimation applications is discussed and tested. This approach enhances the observation model by means of additional linear constraints. These constraints are implicitly derived by applying an affine transformation to the unknown real-valued parameters, and largely aid the integer ambiguity estimation through an improved float estimation. The new method is characterized by a lower computational complexity than a rigorous nonlinearly-constrained GNSS attitude model, and at the same time it guarantees higher performance than unconstrained, and therefore weaker, models. The ambiguity resolution performance of the affine-constrained approach is tested through a series of simulated as well as actual data sets, demonstrating the validity and usefulness of the proposed approach for multi-antenna GNSS-based attitude determination applications.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-149972017-09-13T15:01:40Z Low-Complexity Instantaneous Ambiguity Resolution with the Affine-Constrained GNSS Attitude Model Giorgi, G. Teunissen, Peter In this contribution a new approach to ambiguity resolution for Global Navigation Satellite System (GNSS)-based attitude estimation applications is discussed and tested. This approach enhances the observation model by means of additional linear constraints. These constraints are implicitly derived by applying an affine transformation to the unknown real-valued parameters, and largely aid the integer ambiguity estimation through an improved float estimation. The new method is characterized by a lower computational complexity than a rigorous nonlinearly-constrained GNSS attitude model, and at the same time it guarantees higher performance than unconstrained, and therefore weaker, models. The ambiguity resolution performance of the affine-constrained approach is tested through a series of simulated as well as actual data sets, demonstrating the validity and usefulness of the proposed approach for multi-antenna GNSS-based attitude determination applications. 2013 Journal Article http://hdl.handle.net/20.500.11937/14997 10.1109/TAES.2013.6558017 Institute of Electrical and Electronics Engineers fulltext
spellingShingle Giorgi, G.
Teunissen, Peter
Low-Complexity Instantaneous Ambiguity Resolution with the Affine-Constrained GNSS Attitude Model
title Low-Complexity Instantaneous Ambiguity Resolution with the Affine-Constrained GNSS Attitude Model
title_full Low-Complexity Instantaneous Ambiguity Resolution with the Affine-Constrained GNSS Attitude Model
title_fullStr Low-Complexity Instantaneous Ambiguity Resolution with the Affine-Constrained GNSS Attitude Model
title_full_unstemmed Low-Complexity Instantaneous Ambiguity Resolution with the Affine-Constrained GNSS Attitude Model
title_short Low-Complexity Instantaneous Ambiguity Resolution with the Affine-Constrained GNSS Attitude Model
title_sort low-complexity instantaneous ambiguity resolution with the affine-constrained gnss attitude model
url http://hdl.handle.net/20.500.11937/14997