The Kalman filtering technique can be used to improve estimates of angular velocity (in a strapped-down navigation system) using angular increment (rate integral) data. A simple, second-order, constant coefficient digital filter can yield significant improvement for a very high or a very low noise-to-signal ratio·r = 4 ¿¿/¿¿T2, where ¿¿ is the rms noise in measuring angular increments, ¿¿ is the rms angular acceleration, and T is the sampling time. For r ¿ 1, the filter affords negligible performance improvement.


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    Title :

    Estimating Angular Velocity from Output of Rate-integrating Gyro


    Contributors:

    Published in:

    Publication date :

    1975-07-01


    Size :

    785144 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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