Using single-epoch GPS positioning has many advantages, especially when monitoring dynamic targets (e.g. structural movements). In this technique, errors occurring in previous epochs cannot affect the current epoch’s accuracy. However, careful processing is required. This research uses the GPS Ambiguity Search Program (GASP) single-epoch software. Resolving the phase ambiguities is essential in this technique. Some statistical ambiguity resolution functions have been introduced to estimate the best values of these ambiguities. The function inputs are the base station position, the approximate roving receiver position, and the shared GPS phase measurements at both receivers. This work investigates different GPS pseudorange solutions to find the optimal ambiguity function inputs. The noise level in an undifferenced pseudorange coordinate solution is less than in the double-differenced case; thus, using it in the ambiguity function improves the results. Regional correlation between the pseudorange-computed positioning errors exists; therefore, applying a regional filter reduces their effects. Multipath errors approximately repeat themselves every sidereal day in the case of static or quasi-static receivers and applying a sidereal filter mitigates their effects. The IGS ionospheric model reduces the effect of the ionosphere on the GPS phase measurements. Also, a local code-based ionospheric correction model can be generated. Applying these models improves the quality of the phase measurements, which leads to improvement of the ambiguity function outputs. A Kalman filter applied to the code-based ionospheric model further improves the corrected phase measurements. There is a correlation between the ambiguity function outputs’ quality and the phase measurement residuals’ . Applying a threshold filter reduces the probability of obtaining inaccurate results. Data for various baseline lengths, with synthetic displacements added, indicate that the improved GASP results are reliable for monitoring movements exceeding 10 cm for baselines up to 60 km.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:576768 |
| Date | January 2012 |
| Creators | Assiadi, Mohammed |
| Publisher | University of Newcastle Upon Tyne |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://hdl.handle.net/10443/1787 |
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