The extension of the bootstrap filter to the multiple model target tracking problem is considered. Bayesian bootstrap filtering is a very powerful technique since it represents samples by random samples and is therefore not restricted to linear, Gaussian systems, making it ideal for the multiple model problem where very complex densities can be generated.


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    Title :

    Multiple model bootstrap filter for maneuvering target tracking


    Contributors:
    McGinnity, S. (author) / Irwin, G.W. (author)


    Publication date :

    2000-07-01


    Size :

    204939 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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