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Application of à Trous Wavelet to Satellite Telemetry Data Recursive Prediction(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2004年06期
Page:
606-611
Research Field:
Publishing date:

Info

Title:
Application of à Trous Wavelet to Satellite Telemetry Data Recursive Prediction
Author(s):
SUN Zhen-ming 1JIANG Xing-wei 1WANG Xiao-feng 2 XU Min-qiang 1
1.Department of Astronautics and Mechanics, Harbin Institute of Technology,Harbin 150001,China; 2.School of Mechanical Engineering,NUST,Nanjing 210094, China
Keywords:
satellite telemetry data ?Trous wavelet prediction recursive time series
PACS:
TP873
DOI:
-
Abstract:
This paper proposed a method of the recursive wavelet prediction based on ?Trous algorithm. This method used an undecimated discrete wavelet transform algorithm, decomposed time series poin-t by-point into wavelet coefficients possessing the same length with the original series and adjusted predict ive parameters on line to make up for the defects of Mallat algorithm. Finally, the data for predicting satellite power bus voltage shows that this method meets the expectations of satellite telemetry data predict ion.

References:

[ 1] Soltani S. On the use of the wavelet decomposition for time series prediction[ J] . Neurocomputing, 2002, 48: 267~ 277.
[ 2] 徐敏强, 黄文虎, 张嘉钟, 等. 旋转机械高速启动过程振动信号分析方法的研究[ J] . 振动工程学报, 2000, 13( 2) : 216~ 221.
[ 3] Shensa M J. The discrete wavelet transform:Wedding the ?Trous andMallat algorithms[ J] . IEEE Transactions on Signal Processing, 1992, 40( 10) : 2 464~ 2 482.
[ 4] Zhang B L, Coggins R.Multiresolution forecasting for futures trading using wavelet decompositions[ J] . IEEE Transactions on Neural Networks, 2001, 12( 4) : 765~ 774.

Memo

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Last Update: 2013-03-11