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Robust transcale decentralised estimation fusion for multisensor systems based on wavelet packet decomposition

机译:基于小波包分解的多传感器系统鲁棒跨尺度分散估计融合

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摘要

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 HȡE; 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.
机译:在这项研究中,针对多传感器系统提出了一种基于有效小波包分解(WPD)的鲁棒跨尺度分散估计融合算法。 Haar WPD建立了最粗糙尺度分解层的小波包系数的标准状态空间模型。基于上述模型,分散的HȡE滤波融合公式用于获得最粗尺度分解层的融合估计,然后将这些估计用于通过逆WPD变换重构最细尺度的估计。最后给出了该算法的可行性分析。给出了两个仿真例子来说明所提算法的有效性。

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  • 来源
    《Control Theory & Applications, IET》 |2014年第8期|585-597|共13页
  • 作者

    Zhao L.; Jia Y.; Xie Y.;

  • 作者单位

    Seventh Research Division and the Department of Systems and Control, Beihang University (BUAA), Beijing 100191, People's Republic of China;

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  • 正文语种 eng
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