Satellite navigation observation equations and theirs solution algorithm

The GPS positioning accuracy sometimes is poor for the big GDOP because of satellite distribution and the impact of systematic errors. To solve this problem, two sets of measurement equations were put forward in this paper: measurement equations subject to height constraint; hyperboloid measurement...

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Veröffentlicht in:2009 IEEE International Conference on Automation and Logistics S. 1695 - 1698
Hauptverfasser: Xigang Sun, Yuanfa Ji
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.08.2009
Schlagworte:
Differential equations
Error analysis
Extraterrestrial measurements
Filtering
Global Positioning System
Height constraint
Hyperboloid
Kalman filter
Kalman filters
Measurement equations
Nonlinear equations
Observatories
Satellite navigation systems
State estimation
ISBN:9781424447947, 1424447941
ISSN:2161-8151
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Beschreibung
Zusammenfassung:The GPS positioning accuracy sometimes is poor for the big GDOP because of satellite distribution and the impact of systematic errors. To solve this problem, two sets of measurement equations were put forward in this paper: measurement equations subject to height constraint; hyperboloid measurement equations subject to height constraint, and Kalman filtering method was designed for solving these two different equations. Finally, these two methods were proved fast convergence and high precision through simulation tests comparing with general pseudo-range measurement equations.
ISBN:9781424447947
1424447941
ISSN:2161-8151
DOI:10.1109/ICAL.2009.5262695