#TITLE_ALTERNATIVE#
<p align="justify"> Precise Point Positioning can offer an estimate of horizontal precision as good as 10 to 5 centimetre. This however, can only be reached by using appropriate means of estimation technique, data, and correction models. This research is aiming at establishing Kalman...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/29709 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | <p align="justify"> Precise Point Positioning can offer an estimate of horizontal precision as good as 10 to 5 centimetre. This however, can only be reached by using appropriate means of estimation technique, data, and correction models. This research is aiming at establishing Kalman Filter-based algorithm with appropriate correction models to process GNSS observation data in order to obtain 10-centimetre level of horizontal position estimate. In this research however, horizontal and vertical precision at 0.204 metre and 1.265 metre respectively are obtained while using static position dynamic model. Subsequently, various position's dynamic models are compared and tested. From the test, the usage of static position dynamic model yield better estimation precision than using position-velocity dynamic model. However, the estimation precision from RTKLIB is better than the estimation from algorithm’s static position dynamic model estimation result. This result is due to unmodeled bias factors, which is taken into account in RTKLIB, such as satellite antenna offset, and high noise characteristic that is not yet considered. <p align="justify"> |
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