The velocity of a moving particle can be estimated by using the least squares method (LSM), but the estimation accuracy is not high. Here, a Kalman filtering method (KFM) is applied to estimate this velocity. A Kalman filtering formulation of the moving particle velocity is described and has been realized on a digital computer. According to a vast number of printouts, the advantages of KFM over LSM are a short filtering stability time and a high filtering accuracy.


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    Title :

    Particle Velocity Estimation Using Kalman Filtering


    Contributors:

    Published in:

    Publication date :

    1985-05-01


    Size :

    1466630 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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