We present a novel Kalman filtering approach for GPS/INS integration. In the approach, GPS and INS nonlinearities are preprocessed prior to a Kalman filter. The GPS preprocessed data are taken as measurement input, while the INS preprocessed data are taken as additional information for the state prediction of the Kalman filter. The advantage of this approach, over the well-studied (extended) Kalman filtering approaches is that a simple and linear Kalman filter can be implemented to achieve significant computation saving with very competitive performance figures.


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    Title :

    Direct Kalman filtering approach for GPS/INS integration


    Contributors:
    Qi, Honghui (author) / Moore, J.B. (author)


    Publication date :

    2002


    Size :

    7 Seiten, 23 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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