Electronics Optics & Control, Volume. 20, Issue 12, 97(2013)

Wavelet Transform Based MultiSensor Optimal Information Fusion

CAI Meng
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  • [in Chinese]
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    The problem of multisensor information fusion was studied in timefrequency domainand a new optimal criteria weighted by scalars was proposed.Wavelet transform was introduced in multiscale signal filtering.The state vector and observed value were decomposed into multiscale signalsand the multiscale signals (including approximate component and details) were updated.The local sensor estimation was fused via an optimal algorithm weighted by scalarsand timedomain state estimation was obtained through inverse transformation of wavelet.The method proposed can:1)complete multiscale filtering for the whole multisensor system;2)implement information fusion from the time domainand improve the estimation accuracy greatly;and 3)distribute fusion weights by scalarsthus only the computation of scalar weights is required and the calculation cost is reduced obviously.The simulation shows the effectiveness of the algorithm.

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    CAI Meng. Wavelet Transform Based MultiSensor Optimal Information Fusion[J]. Electronics Optics & Control, 2013, 20(12): 97

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    Paper Information

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    Received: Nov. 18, 2013

    Accepted: --

    Published Online: Dec. 17, 2013

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2013.12.023

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