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 :
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