KALMAN FILTER FOR STATIC GNSS PRECISE POINT POSITIONING
Precise Point Positioning can offer an estimate of horizontal precision as good as 10 <br /> <br /> <br /> <br /> <br /> to 5 centimetre. This however, can only be reached by using appropriate means of <br /> <br /> <br /> <br /> <...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/23523 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Precise Point Positioning can offer an estimate of horizontal precision as good as 10 <br />
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to 5 centimetre. This however, can only be reached by using appropriate means of <br />
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estimation technique, data, and correction models. This research is aiming at <br />
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establishing Kalman Filter-based algorithm with appropriate correction models to <br />
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process GNSS observation data in order to obtain 10-centimetre level of horizontal <br />
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position estimate. In this research however, horizontal precision at 0,204 metre and <br />
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1,856 metre is obtained while using static dynamic model and position-velocity <br />
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dynamic model respectively. This result is due to unmodeled bias factors and high <br />
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noise characteristic that is not yet considered. |
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