The GPS integer least-squares statistics.
Successful integer least-squares carrier phase ambiguity estimation is the key to fast and high precision GPS kinematic positioning. In order to describe the quality of the positioning results rigorously, one needs to know the probability distributions of both the integer and noninteger parameters i...
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| Format: | Journal Article |
| Language: | English |
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2000
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| Online Access: | http://hdl.handle.net/20.500.11937/14969 |
| _version_ | 1848748765544972288 |
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| author | Teunissen, Peter |
| author_facet | Teunissen, Peter |
| author_sort | Teunissen, Peter |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Successful integer least-squares carrier phase ambiguity estimation is the key to fast and high precision GPS kinematic positioning. In order to describe the quality of the positioning results rigorously, one needs to know the probability distributions of both the integer and noninteger parameters in the GPS model. In this contribution these distributions are presented and discussed. The probability mass function of the integer least-squares ambiguities is needed to evaluate the ambiguity success rate and the joint distribution of the GPS baseline and atmospheric delays is needed to evaluate the relevant confidence regions. |
| first_indexed | 2025-11-14T07:10:15Z |
| format | Journal Article |
| id | curtin-20.500.11937-14969 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T07:10:15Z |
| publishDate | 2000 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-149692017-09-13T16:07:07Z The GPS integer least-squares statistics. Teunissen, Peter Integer Least-Squares - GPS - Ambiguity Success Rate - Baseline Distribution Successful integer least-squares carrier phase ambiguity estimation is the key to fast and high precision GPS kinematic positioning. In order to describe the quality of the positioning results rigorously, one needs to know the probability distributions of both the integer and noninteger parameters in the GPS model. In this contribution these distributions are presented and discussed. The probability mass function of the integer least-squares ambiguities is needed to evaluate the ambiguity success rate and the joint distribution of the GPS baseline and atmospheric delays is needed to evaluate the relevant confidence regions. 2000 Journal Article http://hdl.handle.net/20.500.11937/14969 10.1016/S1464-1895(00)00104-6 en restricted |
| spellingShingle | Integer Least-Squares - GPS - Ambiguity Success Rate - Baseline Distribution Teunissen, Peter The GPS integer least-squares statistics. |
| title | The GPS integer least-squares statistics. |
| title_full | The GPS integer least-squares statistics. |
| title_fullStr | The GPS integer least-squares statistics. |
| title_full_unstemmed | The GPS integer least-squares statistics. |
| title_short | The GPS integer least-squares statistics. |
| title_sort | gps integer least-squares statistics. |
| topic | Integer Least-Squares - GPS - Ambiguity Success Rate - Baseline Distribution |
| url | http://hdl.handle.net/20.500.11937/14969 |