DocumentCode :
3481124
Title :
Satellite navigation observation equations and theirs solution algorithm
Author :
Sun, Xigang ; Ji, Yuanfa
Author_Institution :
Guilin Univ. of Electron. Technol., Guilin, China
fYear :
2009
fDate :
5-7 Aug. 2009
Firstpage :
1695
Lastpage :
1698
Abstract :
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.
Keywords :
Global Positioning System; Kalman filters; measurement errors; GPS positioning accuracy; Kalman filtering method; height constraint; hyperboloid measurement equations; satellite navigation observation equations; Differential equations; Error analysis; Extraterrestrial measurements; Filtering; Global Positioning System; Kalman filters; Nonlinear equations; Observatories; Satellite navigation systems; State estimation; Height constraint; Hyperboloid; Kalman filter; Measurement equations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
Type :
conf
DOI :
10.1109/ICAL.2009.5262695
Filename :
5262695
Link To Document :
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