The maximum-likelihood algorithm, the Kalman filter, and smoother algorithms were applied to real flight data from a CH-47 helicopter (two flights) to estimate motion (attitude, position, and velocity) and sensor parameters (gains and biases of the rate gyros and accelerometers) of the craft. Performances of the algorithms were compared. Some attempts were also made to estimate sensor noise parameters.


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    Title :

    Application of Flight Path Reconstruction Algorithms for Flight Data of Helicopter


    Contributors:
    S. Sasaki (author)

    Publication date :

    1988


    Size :

    25 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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