Fusion and estimation of dynamic multiscale system based on M-band wavelet

Pei Ling Cui, Gui Zeng Wang, Quan Pan

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In this paper, the fusion and estimation algorithm of a class of dynamic multiscale systems is investigated. This system is subject to the known dynamic system model, and is measured by multiple sensors with different sampling rates. The sampling rates decrease by a factor of M(M > 2). M-band wavelet is used to approximate the projection relationship between the scale spaces, and system model that satisfies Kalman filter condition is built. After performing Kalman filter, the optimal state estimation can be obtained. Simulation results are given to obtain insight into the effectiveness of our method.

Original languageEnglish
Pages (from-to)21-27
Number of pages7
JournalZidonghua Xuebao/Acta Automatica Sinica
Volume33
Issue number1
DOIs
StatePublished - Jan 2007

Keywords

  • Dynamic multiscale system
  • Estimation
  • M-band wavelet

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