Integer aperture least-squares estimation
GNSS carrier phase ambiguity resolution is the key to fast and high-precision satellite positioning and navigation. It applies to a great variety of current and future models of GPS, modernized GPS and Galileo. In [Teunissen, 2003] we described the general principle of integer aperture (IA) ambiguit...
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| Format: | Journal Article |
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Versita
2005
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| Online Access: | http://hdl.handle.net/20.500.11937/41444 |
| _version_ | 1848756147920568320 |
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| author | Teunissen, Peter |
| author_facet | Teunissen, Peter |
| author_sort | Teunissen, Peter |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | GNSS carrier phase ambiguity resolution is the key to fast and high-precision satellite positioning and navigation. It applies to a great variety of current and future models of GPS, modernized GPS and Galileo. In [Teunissen, 2003] we described the general principle of integer aperture (IA) ambiguity estimation. In the present contribution we introduce one particular IA estimator, the integer aperture least-squares (IALS) estimator. The motivation for studying this estimator stems from the known optimality of the integer least-squares estimator. It is shown how the IALS estimator extends the integer least-squares estimator and how its performance can be measured by means of its fail-rate and success-rate. |
| first_indexed | 2025-11-14T09:07:35Z |
| format | Journal Article |
| id | curtin-20.500.11937-41444 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:07:35Z |
| publishDate | 2005 |
| publisher | Versita |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-414442017-01-30T14:51:48Z Integer aperture least-squares estimation Teunissen, Peter Artificial Satellites Positioning Integer Least-Squares Navigation GNSS carrier phase ambiguity resolution is the key to fast and high-precision satellite positioning and navigation. It applies to a great variety of current and future models of GPS, modernized GPS and Galileo. In [Teunissen, 2003] we described the general principle of integer aperture (IA) ambiguity estimation. In the present contribution we introduce one particular IA estimator, the integer aperture least-squares (IALS) estimator. The motivation for studying this estimator stems from the known optimality of the integer least-squares estimator. It is shown how the IALS estimator extends the integer least-squares estimator and how its performance can be measured by means of its fail-rate and success-rate. 2005 Journal Article http://hdl.handle.net/20.500.11937/41444 Versita fulltext |
| spellingShingle | Artificial Satellites Positioning Integer Least-Squares Navigation Teunissen, Peter Integer aperture least-squares estimation |
| title | Integer aperture least-squares estimation |
| title_full | Integer aperture least-squares estimation |
| title_fullStr | Integer aperture least-squares estimation |
| title_full_unstemmed | Integer aperture least-squares estimation |
| title_short | Integer aperture least-squares estimation |
| title_sort | integer aperture least-squares estimation |
| topic | Artificial Satellites Positioning Integer Least-Squares Navigation |
| url | http://hdl.handle.net/20.500.11937/41444 |