KALMAN FILTER FOR STATIC GNSS PRECISE POINT POSITIONING

• المؤلف الرئيسي: Arif Muhammad (NIM : 15113033), Norman
• التنسيق: Final Project
• اللغة: Indonesia
• الوصول للمادة أونلاين: https://digilib.itb.ac.id/gdl/view/23523
• المؤسسة: Institut Teknologi Bandung

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 /> <br /> estimation technique, data, and correction models. This research is aiming at <br /> <br /> <br /> <br /> <br /> establishing Kalman Filter-based algorithm with appropriate correction models to <br /> <br /> <br /> <br /> <br /> process GNSS observation data in order to obtain 10-centimetre level of horizontal <br /> <br /> <br /> <br /> <br /> position estimate. In this research however, horizontal precision at 0,204 metre and <br /> <br /> <br /> <br /> <br /> 1,856 metre is obtained while using static dynamic model and position-velocity <br /> <br /> <br /> <br /> <br /> dynamic model respectively. This result is due to unmodeled bias factors and high <br /> <br /> <br /> <br /> <br /> noise characteristic that is not yet considered.