GPS Stochastic Modelling : Signal Quality Measures and ARMA Processes.
Global Navigation Satellite Systems (GNSS), such as GPS, have become an efficient, reliable and standard tool for a wide range of applications. However, when processing GNSS data, the stochastic model characterising the precision of observations and the correlations between them is usually simplifie...
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| Online Access: |
Full Text (via Springer) |
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| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Dordrecht :
Springer,
2013.
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| Series: | Springer theses.
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| Subjects: |
| Summary: | Global Navigation Satellite Systems (GNSS), such as GPS, have become an efficient, reliable and standard tool for a wide range of applications. However, when processing GNSS data, the stochastic model characterising the precision of observations and the correlations between them is usually simplified and incomplete, leading to overly optimistic accuracy estimates. This work extends the stochastic model using signal-to-noise ratio (SNR) measurements and time series analysis of observation residuals. The proposed SNR-based observation weighting model significantly improves the results of GPS dat. |
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| Item Description: | 8 Results of Residual-Based Temporal Correlation Modelling. |
| Physical Description: | 1 online resource (345 pages) |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9783642348365 364234836X 3642348351 9783642348358 |