Triple-frequency GNSS models for PPP with float ambiguity estimation: performance comparison using GPS
This contribution proposes two new precise point positioning (PPP) models that use triple-frequency data, designed to accelerate convergence of carrier-phase float ambiguities. The first model uses a triple-frequency ionosphere-free linear combination that has minimum noise propagation and geometry-...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
Maney Publishing
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/47335 |
| _version_ | 1848757804889800704 |
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| author | Deo, M. El-Mowafy, Ahmed |
| author_facet | Deo, M. El-Mowafy, Ahmed |
| author_sort | Deo, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This contribution proposes two new precise point positioning (PPP) models that use triple-frequency data, designed to accelerate convergence of carrier-phase float ambiguities. The first model uses a triple-frequency ionosphere-free linear combination that has minimum noise propagation and geometry-preserving properties. The second model uses a mixed code and carrier-phase linear combination with the same properties. A third model was also implemented, which uses individual uncombined triple-frequency measurements. The three models were validated using triple-frequency GPS data and their performance was compared to the traditional dual-frequency model in terms of the convergence time taken to achieve and maintain a uniform three-dimensional accuracy of 5 cm. Testing includes PPP processing of 1-h measurement blocks using 1–8 days of data from three locations in Australia. It was shown that all the three triple-frequency models had improved solution convergence time compared to the traditional PPP dual-frequency model although they gave almost similar accuracy and precision. The convergence time, when using the triple-frequency ionosphere-free model improved, by 10%, the improvement was 9% when using the mixed code-phase model, whereas the individual uncombined model resulted in 8% improvement. |
| first_indexed | 2025-11-14T09:33:55Z |
| format | Journal Article |
| id | curtin-20.500.11937-47335 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:33:55Z |
| publishDate | 2018 |
| publisher | Maney Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-473352018-05-14T01:28:34Z Triple-frequency GNSS models for PPP with float ambiguity estimation: performance comparison using GPS Deo, M. El-Mowafy, Ahmed This contribution proposes two new precise point positioning (PPP) models that use triple-frequency data, designed to accelerate convergence of carrier-phase float ambiguities. The first model uses a triple-frequency ionosphere-free linear combination that has minimum noise propagation and geometry-preserving properties. The second model uses a mixed code and carrier-phase linear combination with the same properties. A third model was also implemented, which uses individual uncombined triple-frequency measurements. The three models were validated using triple-frequency GPS data and their performance was compared to the traditional dual-frequency model in terms of the convergence time taken to achieve and maintain a uniform three-dimensional accuracy of 5 cm. Testing includes PPP processing of 1-h measurement blocks using 1–8 days of data from three locations in Australia. It was shown that all the three triple-frequency models had improved solution convergence time compared to the traditional PPP dual-frequency model although they gave almost similar accuracy and precision. The convergence time, when using the triple-frequency ionosphere-free model improved, by 10%, the improvement was 9% when using the mixed code-phase model, whereas the individual uncombined model resulted in 8% improvement. 2018 Journal Article http://hdl.handle.net/20.500.11937/47335 10.1080/00396265.2016.1263179 Maney Publishing fulltext |
| spellingShingle | Deo, M. El-Mowafy, Ahmed Triple-frequency GNSS models for PPP with float ambiguity estimation: performance comparison using GPS |
| title | Triple-frequency GNSS models for PPP with float ambiguity estimation: performance comparison using GPS |
| title_full | Triple-frequency GNSS models for PPP with float ambiguity estimation: performance comparison using GPS |
| title_fullStr | Triple-frequency GNSS models for PPP with float ambiguity estimation: performance comparison using GPS |
| title_full_unstemmed | Triple-frequency GNSS models for PPP with float ambiguity estimation: performance comparison using GPS |
| title_short | Triple-frequency GNSS models for PPP with float ambiguity estimation: performance comparison using GPS |
| title_sort | triple-frequency gnss models for ppp with float ambiguity estimation: performance comparison using gps |
| url | http://hdl.handle.net/20.500.11937/47335 |