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