Open AccessRobust transcale decentralised estimation fusion for multisensor systems based on wavelet packet decomposition
Author(s) -
Zhao Lin,
Jia Yingmin,
Xie Yongchun
Publication year - 2014
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2013.0285
Subject(s) - wavelet packet decomposition , network packet , decomposition , haar wavelet , wavelet , fusion , sensor fusion , computer science , scale (ratio) , decomposition method (queueing theory) , control theory (sociology) , algorithm , wavelet transform , mathematics , discrete wavelet transform , artificial intelligence , statistics , computer network , ecology , linguistics , philosophy , physics , control (management) , quantum mechanics , biology
In this study, an effective wavelet packet decomposition (WPD)‐based robust transcale decentralised estimation fusion algorithm is proposed for multisensor systems. The standard state‐space models of wavelet packet coefficients at the coarsest scale decomposition layer are established by Haar WPD. Based on the above models, the decentralised H ∞ filtering fusion formulae is employed to obtain the fusion estimates at the coarsest scale decomposition layer, and these estimates are then used to reconstruct the estimates at the finest scale by an inverse WPD transform. At last, the feasibility analysis of the proposed algorithm is given. Two simulation examples are presented to illustrate the effectiveness of the proposed algorithm.