DocumentCode :
1894398
Title :
A New Trend Prediction Algorithm for Satellites and Applications
Author :
Guo Xiao-hong ; Hou Li-qiang ; Li Heng-nian ; Xu Xiao-hui
Author_Institution :
Satellite Control Center, Xi´an, China
Volume :
1
fYear :
2012
fDate :
23-25 March 2012
Firstpage :
65
Lastpage :
69
Abstract :
Satellite telemetry parameters are the basis of judging whether satellites are in order or not. And parameters´ trend prediction is the precondition to predict the condition of the satellites. Aiming at the need of getting data trend in the project, the comparability of parameters and metabolism was put forward to improve precision of prediction, as well as to build a new prediction model which was adopted to calculate the trend. Through resembling using the data from project practice, new idea is valid and dependable.
Keywords :
satellite telemetry; data trend; metabolism; project practice; satellite telemetry parameters; trend prediction algorithm; Data models; Equations; Mathematical model; Numerical models; Predictive models; Satellites; Telemetry; comparability; metabolism; trend prediction; validity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
Type :
conf
DOI :
10.1109/ICCSEE.2012.114
Filename :
6187829
Link To Document :
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