DocumentCode
2453066
Title
Improving prediction precision of navigation satellite clocks with functional network
Author
Wang, Ying ; Xu, Bo
Author_Institution
Coll. of Astronaut., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear
2011
fDate
19-21 Oct. 2011
Firstpage
119
Lastpage
124
Abstract
In order to be utilized particularly in describing the periodic variation behavior of the navigation satellite clocks, a novel prediction method based on the functional network is proposed in this paper. The method of non-mechanism modeling is adopted, using the sliding window techniques and high non-linear mapping of functional network, which can access linear or nonlinear coupling characteristics of satellite clock behavior. The GPS satellites are taken for example, simulation results show that the prediction precision of the proposed method is even outperforms the IGU-P solutions at least on a daily basis.
Keywords
Global Positioning System; neural nets; prediction theory; GPS satellite; IGU-P solution; access linear characteristics; functional network; high nonlinear mapping; navigation satellite clock; nonlinear coupling characteristics; nonmechanism modeling; periodic variation behavior; prediction precision; sliding window technique; utilized particularly; Clocks; Global Positioning System; Mathematical model; Neurons; Predictive models; Satellite broadcasting; Satellites; delay coordinates embedding; functional network; neural network; satellite clock error; sliding window technique;
fLanguage
English
Publisher
ieee
Conference_Titel
Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on
Conference_Location
Salamanca
Print_ISBN
978-1-4577-1122-0
Type
conf
DOI
10.1109/NaBIC.2011.6089446
Filename
6089446
Link To Document