Name
Title | ||
|---|---|---|
Improving prediction precision of navigation satellite clocks with functional network. |
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. © 2011 IEEE. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/NaBIC.2011.6089446 | NaBIC |
Keywords | Field | DocType |
delay coordinates embedding,functional network,neural network,satellite clock error,sliding window technique,satellites,network delay,predictive models,sliding window,prediction model,mathematical model,neural nets,global positioning system | Satellite,Sliding window protocol,Gps satellites,Computer science,Real-time computing,Global Positioning System,Artificial neural network,Dilution of precision,Nonlinear coupling,Periodic graph (geometry) | Conference |
Volume | Issue | Citations |
null | null | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |