A methodology for estimating initial mean and covariance parameters in a Kalman filter model from an ensemble of nonidentical tests is presented. In addition, the problem of estimating time constants and process noise levels is addressed. Practical problems such as developing and validating inertial instrument error models from laboratory test data or developing error models of individual phases of a test are generally considered.


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    Title :

    Estimation of Kalman filter model parameters from an ensemble of tests


    Contributors:
    Gibbs, B. P. (author) / Haley, D. R. (author) / Levine, W. (author) / Porter, D. W. (author) / Vahlberg, C. J. (author)


    Publication date :

    1980-10-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English


    Keywords :