Improving Precise Point Positioning Performance Using Multi-Frequency Multi-Constellation GNSS
| dc.contributor.author | Deo, Manoj Nilesh | |
| dc.contributor.supervisor | Ahmed El-Mowafy | en_US |
| dc.date.accessioned | 2019-08-18T23:19:07Z | |
| dc.date.available | 2019-08-18T23:19:07Z | |
| dc.date.issued | 2019 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/76138 | |
| dc.description.abstract |
The main drawback of Precise Point Positioning (PPP) is a long convergence time. This thesis integrates Multi-Frequency Multi-Constellation (MFMC) GNSS data to improve PPP convergence. The biases that occur during data integration were identified and modelled. Triple-frequency data was used to improve both float ambiguity and integer ambiguity resolution PPP models. Precise atmospheric products were investigated for constraining the ionosphere and troposphere errors. A method was proposed for maintaining decimetre accuracy during communication outages. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Improving Precise Point Positioning Performance Using Multi-Frequency Multi-Constellation GNSS | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | Earth and Planetary Sciences | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Science and Engineering | en_US |