Improving the GNSS Attitude Ambiguity Success Rate with the Multivariate Constrained LAMBDA Method
GNSS Attitude Determination is a valuable technique for the estimation of platform orientation. To achieve high accuracies on the angular estimations, the GNSS carrier phase data has to be used. These data are known to be affected by integer ambiguities, which must be correctly resolved in order to...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Book Chapter |
| Published: |
Springer
2012
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| Online Access: | http://link.springer.com/chapter/10.1007/978-3-642-20338-1_118 http://hdl.handle.net/20.500.11937/30580 |
| _version_ | 1848753128925560832 |
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| author | Giorgi, G Teunissen, Peter Verhagen, S Buist, Peter |
| author2 | Kenyon, Steve |
| author_facet | Kenyon, Steve Giorgi, G Teunissen, Peter Verhagen, S Buist, Peter |
| author_sort | Giorgi, G |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | GNSS Attitude Determination is a valuable technique for the estimation of platform orientation. To achieve high accuracies on the angular estimations, the GNSS carrier phase data has to be used. These data are known to be affected by integer ambiguities, which must be correctly resolved in order to exploit the higher precision of the phase observables with respect to the GNSS code data. For a set of GNSS antennae rigidly mounted on a platform, a number of nonlinear geometrical constraints can be exploited for the purpose of strengthening the underlying observation model and subsequently improving the capacity of fixing the correct set of integer ambiguities. A multivariate constrained version of the LAMBDA method is presented and tested here. |
| first_indexed | 2025-11-14T08:19:36Z |
| format | Book Chapter |
| id | curtin-20.500.11937-30580 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:19:36Z |
| publishDate | 2012 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-305802023-02-07T08:01:19Z Improving the GNSS Attitude Ambiguity Success Rate with the Multivariate Constrained LAMBDA Method Giorgi, G Teunissen, Peter Verhagen, S Buist, Peter Kenyon, Steve Pacino, Maria Christina Marti, Urs GNSS Attitude Determination is a valuable technique for the estimation of platform orientation. To achieve high accuracies on the angular estimations, the GNSS carrier phase data has to be used. These data are known to be affected by integer ambiguities, which must be correctly resolved in order to exploit the higher precision of the phase observables with respect to the GNSS code data. For a set of GNSS antennae rigidly mounted on a platform, a number of nonlinear geometrical constraints can be exploited for the purpose of strengthening the underlying observation model and subsequently improving the capacity of fixing the correct set of integer ambiguities. A multivariate constrained version of the LAMBDA method is presented and tested here. 2012 Book Chapter http://hdl.handle.net/20.500.11937/30580 http://link.springer.com/chapter/10.1007/978-3-642-20338-1_118 Springer restricted |
| spellingShingle | Giorgi, G Teunissen, Peter Verhagen, S Buist, Peter Improving the GNSS Attitude Ambiguity Success Rate with the Multivariate Constrained LAMBDA Method |
| title | Improving the GNSS Attitude Ambiguity Success Rate with the Multivariate Constrained LAMBDA Method |
| title_full | Improving the GNSS Attitude Ambiguity Success Rate with the Multivariate Constrained LAMBDA Method |
| title_fullStr | Improving the GNSS Attitude Ambiguity Success Rate with the Multivariate Constrained LAMBDA Method |
| title_full_unstemmed | Improving the GNSS Attitude Ambiguity Success Rate with the Multivariate Constrained LAMBDA Method |
| title_short | Improving the GNSS Attitude Ambiguity Success Rate with the Multivariate Constrained LAMBDA Method |
| title_sort | improving the gnss attitude ambiguity success rate with the multivariate constrained lambda method |
| url | http://link.springer.com/chapter/10.1007/978-3-642-20338-1_118 http://hdl.handle.net/20.500.11937/30580 |