Optimal recursive least-squares filtering of GPS pseudorange measurements
Code pseudorange measurement noise is one of the major error sources in Precise Point Positioning. A recursive least-squares solution with proper functional and stochastic modelling would help to exploit in addition the ultra high precision of the carrier phase measurement. Analyses of different met...
| Main Authors: | , |
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| Format: | Conference Paper |
| Published: |
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/26005 |
| _version_ | 1848751863649796096 |
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| author | Le, A. Teunissen, Peter |
| author_facet | Le, A. Teunissen, Peter |
| author_sort | Le, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Code pseudorange measurement noise is one of the major error sources in Precise Point Positioning. A recursive least-squares solution with proper functional and stochastic modelling would help to exploit in addition the ultra high precision of the carrier phase measurement. Analyses of different methods, including phase smoothed, phase connected and phase adjusted pseudorange algorithm, will show that the phase adjusted pseudorange algorithm is statistically optimal. Static and kinematic experiment results also support the conclusion with more than 30% of improvement by going from the phase smoothed to the phase adjusted algorithm. |
| first_indexed | 2025-11-14T07:59:29Z |
| format | Conference Paper |
| id | curtin-20.500.11937-26005 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:59:29Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-260052017-09-13T15:24:20Z Optimal recursive least-squares filtering of GPS pseudorange measurements Le, A. Teunissen, Peter Code pseudorange measurement noise is one of the major error sources in Precise Point Positioning. A recursive least-squares solution with proper functional and stochastic modelling would help to exploit in addition the ultra high precision of the carrier phase measurement. Analyses of different methods, including phase smoothed, phase connected and phase adjusted pseudorange algorithm, will show that the phase adjusted pseudorange algorithm is statistically optimal. Static and kinematic experiment results also support the conclusion with more than 30% of improvement by going from the phase smoothed to the phase adjusted algorithm. 2008 Conference Paper http://hdl.handle.net/20.500.11937/26005 10.1007/978-3-540-74584-6_26 restricted |
| spellingShingle | Le, A. Teunissen, Peter Optimal recursive least-squares filtering of GPS pseudorange measurements |
| title | Optimal recursive least-squares filtering of GPS pseudorange measurements |
| title_full | Optimal recursive least-squares filtering of GPS pseudorange measurements |
| title_fullStr | Optimal recursive least-squares filtering of GPS pseudorange measurements |
| title_full_unstemmed | Optimal recursive least-squares filtering of GPS pseudorange measurements |
| title_short | Optimal recursive least-squares filtering of GPS pseudorange measurements |
| title_sort | optimal recursive least-squares filtering of gps pseudorange measurements |
| url | http://hdl.handle.net/20.500.11937/26005 |