This paper is concerned with optimal filtering in a distributed multiple sensor system with the so-called out-of-sequence measurements (OOSM). Based on BLUE (best linear unbiased estimation) fusion, we present two algorithms for updating with OOSM that are optimal for the information available at the time of update. Different minimum storage of information concerning the occurrence time of OOSMs are given for both algorithms. It is shown by analysis and simulation results that the two proposed algorithms are flexible and simple.


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    Title :

    Optimal update with out-of-sequence measurements for distributed filtering


    Contributors:
    Keshu Zhang, (author) / Li, X.R. (author)


    Publication date :

    2002-01-01


    Size :

    380438 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    S2 Optimal Update with Out-of-Sequence Measurements for Distributed Filtering

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